Treatment of Thermal Non-Equilibrium Dissociation Rates: Application to
Abstract
This work presents a detailed description of the thermochemical non-equilibrium dissociation of diatomic molecules, and applies this theory to the case of dissociation. The master equations are used to derive corresponding aggregate rate constant expressions that hold for any degree of thermochemical non-equilibrium. These general expressions are analyzed in three key limits/ regimes: the thermal equilibrium limit, the quasi-steady-state (QSS) regime, and the pre-QSS regime. Under several simplifying assumptions, an analytical source term expression that holds in all of these regimes, and is only a function of the translational temperature, , and the fraction of dissociation, , is proposed. This expression has two input parameters: the QSS dissociation rate constant in the absence of recombination, , and a pre-QSS correction factor, . The value of is evaluated by comparing the predictions of the proposed expression against existing master equation simulations of a 0-D isothermal and isochoric reactor for the case of dissociation with the third-bodies , H, and He. Despite its simple functional form, the proposed expression is able to reproduce the master equation results for the majority of the tested conditions. The best fit of is then evaluated by conducting a detailed literature review. Data from a wide range of experimental and computational studies are considered for the third-bodies , H, and inert gases, and fits that are valid from 200 to 20,000 K are proposed. From this review, the uncertainty of the proposed fits are estimated to be less than a factor of two.
I Introduction
The dissociation of diatomic species is a relevant physical process for many fields of research, including astrophysics Draine, Roberge, and Dalgarno (1983); Hollenbach and McKee (1989); Chang and Martin (1991); Bell and Cowan (2018); Kristensen et al. (2023), plasma physics Matveyev and Silakov (1995); Silakov et al. (1996); Capitelli et al. (2002); Shakhatov and Lebedev (2018); Smith et al. (2024), detonations Taylor et al. (2013); Voelkel et al. (2016); Shi et al. (2016); Vargas et al. (2022); Baumgart, Yao, and Blanquart (2025), and hypersonic entry flows Park (2011, 2012); Palmer, Prabhu, and Cruden (2014); Erb, West, and Johnston (2019); Carroll and Brandis (2023); Scoggins, Hinkle, and Shellabarger (2024); Steer et al. (2024); Steuer et al. (2024); Rataczak, Boyd, and McMahon (2024). In each of these applications, large temperature gradients lead to internal energy excitation and dissociation of molecular species. Understanding and accurately modeling these non-equilibrium phenomena is complicated by the fact that the processes of internal energy relaxation and dissociation are inherently coupled. For example, high internal energy states are preferentially dissociated, which lead to non-Boltzmann state distributions Marrone and Treanor (1963); Macheret et al. (1994).
To obtain a detailed description of these non-equilibrium phenomena, ab-initio computational methods can be used. The most popular of these methods involves first constructing accurate potential energy surfaces (PESs) that are then used in quasi-classical trajectory (QCT) calculations to obtain state-specific cross-sections/ rate constants that explicitly describe the internal energy excitation and dissociation processes. An overview on the earliest uses of the QCT method is provided by Porter Porter (1974). These state-specific rates can then be used in master equation simulations, where the transitions/ reactions between internal energy states are explicitly computed. A related method is the direct molecular simulation (DMS) approach proposed by Koura Koura (1997), where trajectory calculations on a given PES are performed during a flow simulation.
Recently, several studies in the hypersonic flow literature have used either the master equation approach Kim, Kwon, and Park (2009); Kim and Boyd (2012); Panesi et al. (2013); Andrienko and Boyd (2015) or the DMS approach Norman, Valentini, and Schwartzentruber (2013); Valentini et al. (2014); Schwartzentruber, Grover, and Valentini (2018) to study non-equilibrium dissociation at high temperatures (> 10,000 K). These studies have highlighted several key physical features in a dissociating post-shock flow. Namely, the internal state distribution of the dissociating molecule initially begins at a Boltzmann distribution defined at the pre-shock temperature. Then, excited internal energy states become populated, eventually leading to a local balance between excitation and dissociation known as the quasi-steady-state (QSS) phenomena. Finally, the distribution evolves towards thermochemical equilibrium, defined by a Boltzmann distribution at the post-shock temperature.
While the physical insights gained from these ab-initio studies are valuable, they are unfortunately too computationally expensive to use in most practical computational fluid dynamics (CFD) calculations. The best strategy for incorporating the necessary physics from these detailed approaches into computationally tractable kinetic models for CFD calculations is still an open question. Some models, such as the Park two-temperature Park (1988, 1989a, 1989b), the modified Marrone-Treanor (MMT) Chaudhry and Candler (2019); Chaudhry et al. (2020) and the Singh-Schwartzentruber Singh and Schwartzentruber (2020a, b) models, rely on a multi-temperature framework where rates are described as a function of the translational temperature and one or more internal energy temperatures. Others Magin et al. (2012); Sahai et al. (2017); Venturi et al. (2020) rely on the more general multi-group/ coarse-graining approach described by Liu et al. Liu et al. (2015), where individual rovibrational states of the dissociating molecules are binned together into a number of groups. While the multi-temperature and coarse-graining approaches have been used successfully in the past to reproduce the dissociation dynamics from detailed ab-initio calculations, there are still a few limitations. Namely, they rely on multiple coupled input parameters that must be evaluated consistently, and they also require the solution of additional species and/ or internal energy conservation equations.
Separately, the task of verifying dissociation rate constants across multiple different sources from the literature can be difficult. For hypersonic entry flows in particular, the dissociation rates for / and chemistry have been studied and reviewed in the past due to their relevance for Earth and Mars entry flows Park (1993); Park et al. (1994); Park, Jaffe, and Partridge (2001); Sarma (2000); Pietanza et al. (2021). Comparatively less work has been done to review and validate relevant data for / He systems. / He chemistry is of particular interest in the planetary entry community, as the recently published 2023-2032 decadal survey for planetary exploration identified probe missions to the giant plants Saturn and Uranus (whose atmospheres are composed primarily of / He) as priorities National Academies of Sciences, Engineering, and Medicine (2022). As highlighted in the recent aerothermal heating uncertainty studies by Palmer et al. Palmer, Prabhu, and Cruden (2014) and Rataczak et al. Rataczak, Boyd, and McMahon (2024), uncertainties in dissociation rate constants can have a significant impact on predicted convective and radiative heating rates. This presents a problem, as the accurate prediction of heating rates is crucial for the design of mass efficient thermal protection systems for entry probes. Many computational studies in the ice and gas giant entry flow literature Palmer, Prabhu, and Cruden (2014); Higdon et al. (2018); Liu et al. (2021); Hansson et al. (2021); Carroll and Brandis (2023); Carroll et al. (2023); Coelho and da Silva (2023); Rataczak, Boyd, and McMahon (2024) have used the dissociation rate constants proposed by Leibowitz Leibowitz (1973), despite the fact that the Leibowitz rates are only based on a single set of shock tube experiments (namely those of Jacobs et al. Jacobs, Giedt, and Cohen (1967)). Reviews of experimentally-reported dissociation rate constants have been performed by Cohen and Westburg Cohen and Westberg (1983) and Baulch et al. Baulch (1972); Baulch et al. (2005). However, these reviews were primarily concerned with temperature ranges relevant for combustion applications (1,000 - 3,000 K), and did not consider the results of any computational studies. As will be shown later, computational studies are essential for constraining the gaps in the experimental data sets, especially at the high temperatures most relevant for hypersonic entry flow applications.
In light of these issues, the objective of the present work is twofold. First, to develop and validate a computationally inexpensive dissociation model that still captures the necessary physics from detailed ab-initio approaches. Second, to perform an extensive review of the corresponding model inputs for the case of dissociation with the third-bodies , H, and He/ inert gases. The paper is organized as follows. First, section II discusses the theory of non-equilibrium dissociation and the mathematical formulation of the master equations. From the master equation formulation, a simplified non-equilibrium rate constant expression (that is only a function of the translational temperature and the fraction of dissociation) is proposed. Next, in section III, the proposed expression is validated for the case of dissociation against existing master equation results. Then, in section IV, a review of the available rate constant data for dissociation from both experimental and computational sources is presented. Following this review, new rate constant fits that are valid across the temperature range from 200 - 20,000 K are proposed.
II Theory of Non-Equilibrium Dissociation
Non-equilibrium effects on dissociation are first described in terms of state-specific rates and the corresponding master equations in section II.1. Then, three important limits/ regimes of dissociation rates are discussed: the thermal equilibrium limit (II.2), the quasi-steady-state (QSS) regime (II.3), and finally the pre-QSS regime (II.4). Throughout this section, only the case of dissociation in a single-component mixture/ an infinitely dilute bath of a single third-body is considered. The case of dissociation in a multi-component mixture is discussed separately in Appendix A.
II.1 State-Specific Rates and Master Equations
For an arbitrary homonuclear diatomic molecule , the dissociation/ recombination reaction through collisions with a third-body, M, can be written as follows
(1) |
The chemical source terms for this reaction are given by
(2) |
and
(3) |
where is time, is the number density for species i, and and are the dissociation and recombination rate constants, respectively.
While reaction (1) and Eq. (2) and (3) are adequate for describing the dissociation/ recombination of in an aggregate sense, they do not consider the detailed internal energy distributions of any of the reactants or products. Therefore, to capture the evolution of the rovibrational distribution of , the same dissociation process of reaction (1) is written in terms of the reactions of the individual internal energy states of ,
(4) |
along with a separate reaction to describe the relaxation of the internal energy modes of ,
(5) |
Here, and represent the rotational and vibrational quantum numbers, respectively. Throughout this work, only the electronic ground states of and A are considered. The corresponding chemical source terms/ master equations for these state-specific reactions are given by
(6) | |||||
and
(7) |
In these equations, the state-specific relaxation rate constants are denoted as and , and the state-specific dissociation and recombination rate constants are denoted as and respectively, where indicates the dissociated state of .
The forward and backward rate constants for the state-specific processes are related via micro-reversibility as
(8) |
and
(9) |
Here, the subscript eq refers to the locally defined equilibrium state evaluated at the translational temperature, , and is the characteristic dissociation temperature of measured from the ground state. is the translational partition function with species’ mass and the Boltzmann and Planck constants, and , respectively, while is the internal partition function for species i evaluated at . The state-specific internal partition function, , is related to the bulk internal partition function, , as
(10) |
For the case of H and (considering only electronic ground states), and , where is the characteristic rovibrational temperature of , and the statistical weight due to nuclear spin-splitting, , is 1/4 for all even (para-hydrogen) and 3/4 for all odd (ortho-hydrogen) Colonna, D’Angola, and Capitelli (2012); Popovas and Jørgensen (2016).
The state-specific rate constants, , , , and , are all only functions of the translational temperature, . This is a direct consequence of the fact that the reaction of a given state is only a function of its impact with the third-body, M. Therefore, if the internal energy of M does not change during a collision, then the state-specific rate constants can only be a function of . In the event that M is another molecule that could simultaneously undergo a relaxation or reaction, the state-specific rate constants can still be written as just functions of , provided that the rate constants are written to index the internal energy states of both and M Kim and Boyd (2012). For the sake of simplicity, the less general case of M with a fixed internal energy will be considered for the analysis presented here.
Comparing the atomic master equation of Eq. (7) to Eq. (3), it is evident that the aggregate rate constants can be expressed in terms of the state-specific rate constants as
(11) |
and
(12) |
where
(13) |
Using the micro-reversibility relation of Eq. (8), Eq. (12) can equivalently be written as
(14) |
Here, we have used the fact that and are related via their internal partition functions as
(15) |
and that and are related via the equilibrium constant, , as
(16) |
Because Eq. (11) and (14) come from the master equations of Eq. (6) and (7), these results are general, and hold for any degree of thermochemical non-equilibrium.
In a compression/ shocked flow environment, the rovibrational distribution of initially begins as a Boltzmann distribution at the pre-shock temperature, which then evolves towards a Boltzmann distribution at the post-shock equilibrium temperature. In the general case, this evolution can occur through a series of non-Boltzmann distributions, in contrast to the assumption of a typical multi-temperature model, which assumes that it must occur through a series of Boltzmann distributions. Because the distribution of can continually change in this post-shock environment, Eq. (11) gives that the effective aggregate can continually change as well. Therefore, unlike the state-specific rate constants, is a function of the instantaneous distribution of .
II.2 Thermal Rates
In the limit of thermal equilibrium, the rovibrational distribution of can be described simply by Eq. (15). Therefore, substituting Eq. (15) into Eq. (11) gives the thermal dissociation rate constant,
(17) |
This thermal rate is referred to as the “one-way” rate by Park Park (1989b) and Kim and Boyd Kim and Boyd (2012, 2013). Taking the ratio of Eq. (17) over the general expression for given by Eq. (14), the expected result that macroscopic detailed balance must be satisfied at thermal equilibrium is obtained,
(18) |
Since Eq. (14) is a general relation for , this result implies that regardless of the degree of non-equilibrium, must always satisfy Eq. (18).
II.3 QSS Rates
II.3.1 Formulation and Solution for
A second regime of importance for the distribution of and therefore is the quasi-steady-state or QSS condition. The QSS condition arises when the rate of change of is significantly smaller than the total production term in the right-hand side of Eq. (6),
(19) |
or equivalently the total consumption term,
(20) |
When this condition is satisfied, the total consumption term is approximately equal to the total production term such that
(21) |
To obtain the corresponding dissociation rate constant at QSS, a similar setup to the one proposed by Park Park (1989b) is used here. In particular, the local equilibrium normalized number densities,
(22) |
(23) |
and
(24) |
are defined. For convenience, the equilibrium normalized fractional density for is also defined as
(25) |
Then, Eq. (21) is rewritten using these definitions and Eq. (8), (9), and (15) to get
(26) |
For total rovibrational states of , Eq. (26) gives constraint equations. However, Eq. (13) gives an additional constraint for the total number density of that must be satisfied as well. Written in terms of , this additional constraint is expressed as
(27) |
or equivalently
(28) |
This gives an over-constrained system with equations for unknowns. To resolve this over-constraint, the QSS condition given by Eq. (26) for the ground state, (=0,=0), is dropped. This follows from the understanding that the QSS condition arises as a competition between the production process of excitation and the consumption process of dissociation, as the magnitudes of the excitation and dissociation terms in Eq. (26) are initially much larger than the magnitudes of the de-excitation and recombination terms in compression/ shocked flows. As a consequence, the QSS condition is least likely to be satisfied by the ground state, as unlike all other excited rovibrational states of , there is no excitation term that can repopulate the ground state and compete with the dissociation process.
Equations (26) and (28) can then be written in the matrix form
(29) |
The entries in the first row of matrix are given by , and the first entries of the column vectors and are 0 and 1, respectively. For all other rows, the entries of are given by the coefficients in the left-hand side of Eq. (26), the entries of are given by the coefficients in the right-hand side of Eq. (26), and . The solution to Eq. (29) can be written as the sum of two terms,
(30) |
and
(31) |
such that
(32) |
represents the QSS solution in the absence of recombination/ in the non-recombining (nr) limit, and represents the contribution of recombination (r) to the QSS solution. In Park Park (1989b) as well as the subsequent master equation studies by Kim et al. Kim, Kwon, and Park (2009, 2010) and Kim and Boyd Kim and Boyd (2012, 2013), the solution to Eq. (29) was instead described as the sum of a homogeneous component, , and a particular component, . The formulation of the present work differs in that is pulled out of the definition of the homogeneous solution, such that and both represent particular solutions to Eq. (29) that are only functions of , , and .
Two key observations are made here regarding the QSS formulation described by Eq. (30)-(32). Firstly, , , and are only functions of the state-specific rates, which in turn are only functions of . As a result, and are also only functions of . Therefore, even though the QSS distribution may correspond to internal rovibrational temperatures, and , that are not equal to , the QSS solution is none-the-less functionalized by alone. Secondly, since the QSS assumption of approximately equal production and consumption terms as given by Eq. (21) is true at equilibrium, Eq. (32) must also be valid at equilibrium. By construction, and are equal to 1 and is the unity vector at equilibrium. Hence, Eq. (32) implies that
(33) |
II.3.2 Solution for
To compute the dissociation rate constant at QSS, the general expression for given by Eq. (11) is first rewritten in terms of using Eq. (15), (22), (24), and (25) as
(34) |
Separately, Eq. (25), (32), and (33) are combined to give
(35) |
Equation (35) is then substituted into Eq. (34) to give the final expression for at QSS,
(36) |
Since represents the QSS solution in the absence of recombination, the corresponding dissociation rate constant in the non-recombining limit, , can be computed simply from Eq. (34) as
(37) |
Using Eq. (37) in addition to the expression for the thermal rate constant, Eq. (17), Eq. (36) can be written more compactly as
(38) |
Here, the coefficient
(39) |
is effectively a progress variable that varies from 0 in the limit of no dissociation to 1 in the limit of equilibrium. As such, Eq. (38) gives a description of that varies between the two limiting rates of and . Since and are only functions of , the description of given by Eq. (38) is only a function of and . Despite this lack of dependence on any other internal temperatures (e.g., or ), the given by Eq. (38) only satisfies macroscopic detailed balance with exactly in the limit where and hence . This implies that at this limit of the QSS condition, thermal and chemical equilibria are reached simultaneously.
Finally, it is worth noting that the description of given by Eq. (38) is valid everywhere where the QSS assumption of Eq. (21) is valid, namely everywhere outside of the pre-QSS region. Some master equation studies in the literature, such as the study by Venturi et al. Venturi et al. (2020) for the dissociation of with M = O, distinguish between a “QSS” and “post-QSS” region. The discussion above suggests that it would be more appropriate to classify these regions as the non-recombining (nr) and recombining (r) regions, where or , respectively.
II.3.3 Chemical Source Term
While Eq. (38) provides an expression for that is valid for all regimes where the QSS assumption of Eq. (21) is valid, it implies that separate fits for both and in terms of are required. However, if we are only concerned with reproducing the total chemical source term for each species, i.e., and , as is typically the case in CFD calculations, a further simplification can be made that eliminates the dependence on . In particular, if Eq. (38) is substituted into the general aggregate source term equation, Eq. (3), can be written as
(40) |
If Eq. (39) is then used to substitute for , Eq. (40) can be written as
(41) |
Therefore, with no additional simplifying assumptions, the chemical source term from the full formulation of Eq. (40) can be computed equivalently as solely a function of . What’s more, the dependence on in Eq. (41) is exactly the same as it would be if one had “incorrectly” assumed that and applied macroscopic detailed balance to compute the consumption term. However, the above analysis clearly shows that the consumption term with does not correspond to the physical recombination rate constant, , but instead comes from the negative term of the dissociation rate constant given by Eq. (38).
While not explicitly stated or justified, the alternate formulation given by Eq. (41) is inherently what Park Park (1989b) and Kim Kim, Kwon, and Park (2009, 2010); Kim and Boyd (2012, 2013) have used. In their formulation, the recombination rate constant was simply defined as
(42) |
Using Eq. (16), (33), and (37), one can show that the above expression is equivalent to
(43) |
Therefore, is defined such that it satisfies macroscopic detailed balance with by construction.
There are two key implications of these results. First, the same expression should be used to compute both the production and consumption terms of Eq. (41). Second, since is only a function of in the QSS regime, one significant reason to use a fit of that depends on other variables is to capture dissociation in regions where the QSS assumption is not valid, i.e., in the pre-QSS regime.
II.3.4 Transition Between and
Leveraging the above analysis, it is possible to determine explicitly the degree of dissociation that is reached when exceeds the limit. Mathematically, this limit is defined as the degree of dissociation reached when exceeds some fraction of , i.e., . Substituting this limit for into Eq. (38) gives the limiting value for as
(44) |
Next, the degree of dissociation, , is defined as
(45) |
where is the total number density of A atoms. From this, the number densities of and A can be written as
(46) |
By construction, is related to as
(47) |
such that is a direct measure of the fraction of dissociation relative to the locally defined equilibrium at .
Using Eq. (46) along with Eq. (39), takes the form
(48) |
with the corresponding solution for given by
(49) |
To account for the fact that the equilibrium degree of dissociation can vary as a function of and , is normalized by (computed using Eq. (49) with = 1) and the value of in the non-recombining limit from Eq. (44) is substituted to give
(50) |
Practically, to use this analysis, one first selects a threshold value of to define the limit. Then, the corresponding ratio is evaluated using Eq. (44). Finally, Eq. (50) is used to give the fraction of dissociation that occurs in the non-recombining limit. Importantly, these results are only a function of and , and hence it is not necessary to solve the full system of master equations to know how these variables will impact the transition of from the non-recombining to the thermal limit.
II.3.5 Solution for
Since Eq. (35) gives a complete description of the distribution in the QSS regime, the corresponding evolution of the average rovibrational energy of can be computed explicitly as well. In general, the average rovibrational energy of is given by
(51) |
where is the characteristic rovibrational temperature of . Using Eq. (35), in the QSS regime can then be expressed as
(52) |
where in the non-recombining and thermal limits has been defined as
(53) |
and
(54) |
respectively. As with and , Eq. (53) and (54) give that and are only functions of , and hence in the QSS regime is functionalized by and alone.
Unlike , is not a commonly reported quantity in the literature. Fortunately, it is still possible to obtain estimates of if energy-equivalent rotational and vibrational temperatures, and , are reported. In a vibration-preferred framework where and , and are defined such that the average rotational and vibrational energies, and , are given by
(55) |
and
(56) |
where
(57) |
by construction. Therefore, as long as estimates of and can be obtained, can be computed equivalently as
(58) |
II.4 Pre-QSS Rates
II.4.1 Formulation
The theory of the previous sections provides a complete description of and under the QSS assumption up to and including thermal equilibrium. However, this description is of course only valid once the QSS condition of Eq. (21) is met. The region before QSS is established is referred to as the “pre-QSS” region. If it is assumed that recombination is negligible in the pre-QSS region as it occurs before the non-recombining QSS limit, the master equations for from Eq. (6) can be simplified to
(59) | |||||
The inherent time-dependence and coupled nature of Eq. (59) implies that it is only possible to obtain an exact solution in the pre-QSS by solving Eq. (59) for all states of simultaneously. However, under several simplifying assumptions, useful insights into the pre-QSS behavior can still be obtained.
The isothermal and isochoric assumptions are first made such that all equilibrium number densities can be treated as constants. Under this assumption, Eq. (59) can be rewritten in terms of as
(60) | |||||
or equivalently in matrix form as
(61) |
where the entries of correspond to the state-specific rate constant terms in the right-hand side of Eq. (60). This definition of is nearly identical to the definition of used previously in the QSS formulation of Eq. (29), except that the first row of does not correspond to the constraint equation of Eq. (28) as it does for . Next, the rate of change of is expressed in terms of by taking the time derivative of Eq. (28) and applying Eq. (61) to get
(62) |
Here, corresponds to the transpose of the vector with entries given by , and Eq. (28) gives that . These results can be combined to express the time rate of change of as
(63) |
It can be shown that all eigenvalues of are negative, and hence as , the solution to Eq. (63) converges to a steady state given by
(64) |
In other words, is an eigenvector of with the corresponding eigenvalue
(65) |
A linear stability analysis of Eq. (61) would show that is the smallest eigenvalue and hence corresponds to the slowest decaying mode of .
II.4.2 Approximate Solution for and
Until this point in the analysis of the pre-QSS, only the isothermal and isochoric assumptions have been made. To compute a solution for the evolution of without numerically integrating the master equations, three additional approximations are made here. Firstly, the nonlinear term of Eq. (63) is approximated using Eq. (65) as
(66) |
This is equivalent to assuming that all but the slowest modes of have decayed. Secondly, it is assumed that . represents the steady solution to the pre-QSS master equations (Eq. (60)), whereas is the solution to the QSS master equations (Eq. (26)) in the absence of recombination. Due to the fact that and are not exactly equal, and are not formally equivalent. For practical applications however, they are the same. Thirdly, the third-body M is treated as inert such that is constant.
By multiplying Eq. (64) by and adding it to Eq. (63), then applying Eq. (66), the following expression is obtained
(67) |
Using the fact that and applying the approximation that then gives
(68) |
where the time-dependent solution is given by
(69) |
Under the discussed assumptions, the pre-QSS internal state distribution of is only a function of , , and . In particular, the pre-QSS solution has a simple exponential dependence on both and . Mathematically, the convergence rate of this solution is controlled by the smallest eigenvalue of Haug, Truhlar, and Blais (1987). Hence, this matrix can be approximated by , where is the second smallest eigenvalue of . As will be shown in section III.1, the resulting functional form from this approximation is sufficient for capturing the majority of the pre-QSS behavior for dissociation. Then, Eq. (69) is substituted into the general expression for given by Eq. (34) to yield
(70) | |||||
Here, corresponds to the dissociation rate constant evaluated at the post-shock but weighted by the pre-shock Boltzmann distribution, and . For any practical pre-shock temperatures (e.g., 100 - 300 K), will be magnitudes smaller than , such that .
While Eq. (70) gives a compact expression for , its dependence on makes it inconvenient for practical use. To remedy this, an alternate formulation is proposed where is replaced with the fraction of dissociation, . This is done by considering the chemical source term for A in the pre-QSS,
(71) |
Equation (71) is then rewritten using Eq. (46) and Eq. (70) as
(72) |
where is the degree of dissociation as defined previously in Eq. (45). Next, using a first-order Taylor expansion to approximate , the solution to Eq. (72) (in the limit of a negligible ) is given by
(73) |
Substituting this result back into Eq. (70) gives
(74) |
Finally, because the equilibrium degree of dissociation, , is close to 1 (i.e., complete dissociation) for the majority of the conditions where pre-QSS effects would be relevant, is approximated as . Performing this substitution in Eq. (74) yields the final expression for the pre-QSS dissociation rate constant,
(75) |
where . For most uses, the in Eq. (75) can be neglected. However, when Eq. (75) is used in a numerical integration (as in a CFD calculation), a non-zero value of is required such that is not 0 at . Practically, for the case of dissociation discussed later in section III.3, it was found that there is no sensitivity to the value of below the threshold of .
A key implication of these results is that under the discussed assumptions, can be expressed simply as modified by a multiplicative non-equilibrium factor that is only a function of and . Importantly, the dependence of on as seen in Eq. (70) drops out when is substituted by . This means that as long as an accurate fit of can be obtained, the fraction of dissociation that occurs in the pre-QSS can be estimated easily as just a function of . Analogously to the QSS analysis presented in section II.3.4, the fraction of dissociation that occurs in the pre-QSS region can be defined as the values of for which is within some fraction of , i.e., . Substituting this constraint into Eq. (75) with gives the desired result,
(76) |
II.4.3 Chemical Source Term
There are two key implications of the analysis presented above for the calculation of the chemical source term. First, since Eq. (75) gives that is simply multiplied by a correction factor, it is easy to incorporate the expression for into the previous QSS rate constant expression. Namely, by replacing in Eq. (38) with , a complete description of that is valid from the pre-QSS to the thermal limit can be obtained. This result is given by
(77) |
As expected, in the limit of no dissociation when , this expression gives that , and in the limit of equilibrium when , this expression gives that .
Second, by combining this description of with the formula for from Eq. (18), the general source terms for and A can be computed directly from Eq. (2) and (3). Equivalently, by taking advantage of the same source term equivalence as discussed for Eq. (40) and (41), the chemical source term can be computed practically as
(78) |
This gives a complete description of the non-equilibrium chemical source term that is only a function of the translational temperature, , and the fraction of dissociation, , via the expression for from Eq. (75).
II.4.4 Approximate Solution for
Analogously to the QSS case, the evolution of the average rovibrational energy, , can also be computed from the approximate solution of the distribution in the pre-QSS regime. Using the same substitutions as Eq. (75) for and , the rovibrational distribution of can be computed from Eq. (69) as
(79) |
Substituting this result into Eq. (51) and using the definition of from Eq. (53) then gives
(80) |
where corresponds to evaluated via Eq. (54) at the pre-shock temperature. Similarly to the discussion for , this result gives that is equal to multiplied by a pre-QSS correction factor. Therefore, by applying this correction factor in the previous QSS description of from Eq. (52), the corresponding complete description of from the pre-QSS to the thermal limit is given by
(81) |
III Application to the Dissociation of
In this section, the QSS and pre-QSS theories described in section II are applied to the case of dissociation. In section III.1, the rate expressions are first validated against master equation results from the literature. Then, in section III.2, the fraction of dissociation that occurs in the QSS and pre-QSS regimes are estimated as a function of temperature and number density. Finally in section III.3, the QSS and pre-QSS source term expressions are used to compute number density and average rovibrational energy profiles which are compared directly to the master equation results.
III.1 Extracted Rate Constants
To validate the analysis presented in the previous sections, the predictions of the QSS and pre-QSS theories are compared to the results of the master equation calculations for the dissociation of by Kim and Boyd Kim and Boyd (2012) (M = ) and Kim Kim (2015) (M = H and He). In these computational studies, state-specific rate constants were evaluated using the QCT method. For the case of M = by Kim and Boyd Kim and Boyd (2012), the complete set of state-specific rate constants for both target and projectile molecules were evaluated using the QCT method along with response surfaces designed by the ordinary Kriging model. For each third-body, the full set of master equations was used to simulate a 0-D isothermal and isochoric reactor in a heating environment where and were held constant. molecules were allowed to dissociate, and the evolution to equilibrium of the initial rovibrational distribution of (characterized by ) was observed. The resulting number density and internal temperature profiles from these calculations are reproduced in Fig. 1 and 2, respectively111Number densities, rovibrational temperatures, and rate constants for these studies were only reported as plots. Therefore, these values have all been obtained via digitizations.. For the 10,000 K and 16,000 K cases with M = H and He, rovibrational temperatures are obtained from the earlier study by Kim et al. Kim, Kwon, and Park (2009), as temperatures were reported over a wider range of simulation times. For all plotted cases, rovibrational temperatures were initialized at = 1,000 K, and the number density of was initialized at . For the cases with M = H and He, the number density of the third-body was additionally set to . For the higher temperature cases with all third-bodies, the results of Fig. 2 highlight distinct plateaus in the and profiles between the initial value at 1,000 K and the final equilibrium values at . These plateaus correspond to the non-recombining QSS limit, and the regions before and after the plateaus correspond to the pre-QSS and recombining regions, respectively.






For several of these master equation cases, the corresponding aggregate is calculated and shown as solid black lines in Fig. 3 222For the case of M=, a modified equilibrium constant, , was required to reproduce the equilibrium number densities plotted by Kim and Boyd Kim and Boyd (2012). Additionally, for the case of M=H, values were extracted from the number density profiles assuming was fixed and equal to .. These values are computed by substituting into Eq. (18) to compute , after which and the corresponding number densities from Fig. 1 and their derivatives are substituted into Eq. (3) to compute . For the case of M = , values are taken directly from Kim and Boyd Kim and Boyd (2012). However, in the cases of M = H and He, values were not reported by Kim Kim (2015). Therefore, values are instead taken from the recent QCT study by Vargas et al. Vargas, Monge-Palacios, and Lacoste (2024). The master equation-extracted values show similar trends for all third-bodies. Namely, the rate constants start at a low value, increase to reach a plateau, and then equilibrate to the thermal limit. As with the and plots from Fig. 2, the initial increase corresponds to the pre-QSS period, the plateau corresponds to the non-recombining QSS limit, and the final increase corresponds to the recombining region. For the lower temperature cases, the gradual evolution of from the non-recombining QSS to the thermal limit is apparent; at higher temperatures this transition occurs rapidly near . Consistent with the QSS theory discussed previously, these results show that only reaches when . In other words, thermal and chemical equilibria are reached simultaneously. At the other end near , the pre-QSS region is negligible for the lower temperature cases. As is increased, the fraction of dissociation that occurs in the pre-QSS region increases.









To compare to the master equation results, predicted values from the QSS as well as the pre-QSS theories are computed. These are shown in Fig. 3 as dash-dotted red and dashed blue lines, respectively. For the QSS predicted values, is computed using Eq. (38); for the QSS values with the pre-QSS correction, Eq. (77) is used instead with . The values used in the pre-QSS expressions are computed for each third-body and temperature case using a least squares fit to the master equation results. As expected, the values from the QSS theory without the pre-QSS correction are able to reproduce the results of the master equations everywhere outside of the pre-QSS region. Namely, the values reflect the plateaus in the master equation results, and the transition from the non-recombining QSS to the thermal limit is captured correctly for all third-bodies and temperatures by the QSS theory. Additionally, with the simple pre-QSS correction of Eq. (75), the values are also able to reproduce the results of the master equation calculations in the pre-QSS regions.
III.2 Fraction of Dissociation in the Pre-QSS and QSS Regions
To estimate the fraction of dissociation that occurs in the pre-QSS for any temperature, fits of for each third-body are first computed. The definition of gives that is effectively the ratio of two rate constants, as and both correspond to eigenvalues of the rate matrix . Therefore, a modified Arrhenius form is used for these fits. The parameters for the Arrhenius fits are determined by fitting as a function of temperature (in K) across each of the master equation cases discussed in the previous section. For M = , H, and He, these fits are given by , , and , respectively. Figure 4 compares these fits (in solid lines) to the master equation-extracted values (in open symbols). The Arrhenius fits are in excellent agreement with the master equation-extracted values. In fact, using these Arrhenius fits in Eq. (77) instead of the individual master equation-extracted values produced effectively identical predictions of the pre-QSS dissociation rate constants for the master equation cases discussed in the previous section.

Using these fits, the fraction of dissociation that occurs in the pre-QSS, non-recombining QSS, and recombining regions as a function of and is estimated using Eq. (44), (50), and (76). In these equations, the exact value of and hence the cutoffs between the pre-QSS, non-recombining QSS, and recombining regions is arbitrary. As will be shown in section IV, the uncertainties in the rate constants from the literature are approximately bounded by a factor of two. In light of these uncertainties, a value of 0.25 is used for the present analysis. For the M = case, continuous fits of and are obtained by fitting the reported values from Kim and Boyd Kim and Boyd (2012) to a modified Arrhenius form. For the M = H and He cases, fits of and are taken from Kim et al. Kim, Kwon, and Park (2009) and Vargas et al. Vargas, Monge-Palacios, and Lacoste (2024), respectively. The results of these calculations are shown in Fig. 5. The selected temperature and number density ranges correspond to the range of conditions relevant for post-shock hypersonic entry flows as well as the shock tube experiments discussed later in section IV.1. The case in particular corresponds to the master equation calculations discussed in the previous section. These plots highlight that for most temperatures and number densities, the majority of dissociation for all three third-bodies occurs near the non-recombining QSS limit where . As the temperature decreases and/ or as the number density increases, the fraction of dissociation that occurs in the recombining region increases. Luckily, as discussed in section II.3.3, the source terms for the entire QSS region can be captured by a one-temperature fit of , as the dependence on number densities for the transition of between the non-recombining and thermal limits is captured implicitly by Eq. (41). Following Eq. (76), the fraction of dissociation that occurs in the pre-QSS region is only a function of temperature. This is consistent with the empirical observations from the + O master equation calculations of Venturi et al. Venturi et al. (2020). While the fraction of dissociation that occurs in the pre-QSS is negligible at low temperatures, it increases monotonically with temperature, and in the case of M = H, becomes comparable to the non-recombining contribution at 20,000 K.



III.3 Predicted Number Densities and Rovibrational Energies
The QSS source term expressions with and without the pre-QSS correction (Eq. (78) and (41), respectively) are numerically integrated, and the resulting number density profiles are compared to those of the master equation calculations in Fig. 6. For the pre-QSS expression, is set to and the fits obtained in the previous section are used. For the lowest temperature cases (4,000 K and 6,000 K), both sets of the predicted profiles reproduce the master equation results accurately for all three third-bodies. This serves as a verification of the source term equivalence discussed in section II.3.3, as Fig. 3 shows that the aggregate varies considerably between the and limits for these low temperature cases, and yet integrating Eq. (41) and (78) (which are only functions of and , respectively) still yields the correct number density profiles. For the higher temperature cases ( 10,000 K), a larger difference appears between the predicted profiles with and without the pre-QSS correction. In particular, the QSS expression without the pre-QSS correction results in dissociation that is too fast when compared to the master equation calculations. However, with the pre-QSS correction, the predicted profiles are in much better agreement with the master equation results, especially for the M = H and He cases where there is excellent agreement for the higher temperature cases.









Figure 7 shows the corresponding average rovibrational energy profiles for the same simulation cases. For the master equation calculations, the reported and values from Fig. 2 are used with Eq. (55)-(57) to compute values. For the predicted values, and are first estimated from Fig. 2, then are used in Eq. (58) to compute . Then, values of are computed using either Eq. (81) or Eq. (52) with the predicted number densities from Fig. 6 for the cases with and without the pre-QSS correction, respectively. Overall, the predicted profiles with the pre-QSS correction reproduce the trends seen in the master equation calculations, without any refitting of . In the recombining regions for all third-bodies, there is excellent agreement in the transition of between the and limits.



The results of Fig. 6 and 7 show that the relatively simple pre-QSS corrected expressions of Eq. (75) and (81) are sufficient for capturing the majority of the non-equilibrium behavior of the full master equation calculations for dissociation. Importantly, the rate constant expression only requires fits for and , and is ultimately only a function of and the fraction of dissociation, . In CFD calculations, and are already computed via the energy and species’ continuity equations. Therefore, the non-equilibrium dissociation behavior (including QSS and pre-QSS effects) may be captured with just a one-temperature formulation that only considers bulk species. This approach offers benefits over other approaches from the literature.
The most widely used class of non-equilibrium dissociation models in the literature is known broadly as “multi-temperature” models. Examples of such models include the two-temperature formulation by Park Park (1988, 1989a, 1989b), as well as the more recent QCT-informed modified Marrone-Treanor (MMT) Chaudhry and Candler (2019); Chaudhry et al. (2020) and Singh-Schwartzentruber models Singh and Schwartzentruber (2020a, b). Multi-temperature models require the solution of additional energy equations (one per independently tracked energy mode/ temperature) to describe the coupling between internal energy relaxation and dissociation. As a consequence, multi-temperature models (at a minimum) require inputs for relaxation time-scales and energy feedback factors, as well as multi-temperature fits of rate constants. These three model inputs are inherently coupled and cannot be estimated independently. In particular, they must be evaluated in a consistent manner to recover QSS dissociation rates accurately. By contrast, this coupling is already captured by design in the one-temperature formulation of the present work, as the expressions for (Eq. (75)) and (Eq. (81)) are derived from the same non-equilibrium internal energy distribution solution.
A more general class of non-equilibrium dissociation models from the literature are based on the multi-group/ coarse-graining approach outlined by Liu et al. Liu et al. (2015). In this approach, individual rovibrational states are binned into a number of “groups”. Typically, this is done by assuming that the states within a given group follow a Boltzmann distribution about a locally defined internal group temperature. Then, the master equations are solved for the grouped states instead of the entire set of rovibrational states. In the limit where each “group” consists of a single rovibrational state, the full master equation/ state-to-state approach is recovered. Conversely, in the limit where all rovibrational states are binned together into one group, the multi-temperature approach is recovered. While this approach has been used successfully in the past to reproduce the dissociation dynamics of full master equation calculations with a fraction of the species Magin et al. (2012); Munafò, Panesi, and Magin (2014); Sahai et al. (2017, 2019); Venturi et al. (2020), there are a few limitations. Firstly, similar to the multi-temperature approach, the coarse-graining approach requires the solution of additional continuity and internal energy conservation equations for each group of states. Even if relatively few groups are required, the associated computational cost is still larger than the one-temperature approach. Secondly, finding the optimal grouping strategy to capture the correct physics while minimizing computational cost is not a trivial task Sahai et al. (2017). This is not a problem for the present formulation, as only bulk species need to be tracked explicitly.
IV Review of Rate Constants for Dissociation
While the master equation studies of Kim and Boyd Kim and Boyd (2012) and Kim Kim (2015)/ Kim et al. Kim, Kwon, and Park (2009) discussed in the previous section provide a good validation of the QSS and pre-QSS theories and framework, they only represent one set of calculations for determining dissociation rate constants. Even detailed master equation studies such as those by Kim and Boyd Kim and Boyd (2012) and Kim Kim (2015)/ Kim et al. Kim, Kwon, and Park (2009) can have associated uncertainties due to potential inaccuracies in the underlying PESs or QCT calculations. As a consequence, accurate estimates of rate constants should rely on compilations of data from as many sources as possible. To implement the rate constant models proposed in section II.4, only fits of and for each third-body are required. Since can only be computed by fitting directly to master equation results, the expressions presented previously in section III.2 already represent the best available estimates. However, estimates of can be obtained from a much wider variety of sources. Therefore, in this section, rate constants for the dissociation of from both experimental and computational studies are reviewed for each relevant third-body. Then, from this review, new fits of that are valid from 200 - 20,000 K are proposed.
The available data sets in the literature can be split into three primary categories: high temperature (2,000 - 8,000 K) rate constants extracted from shock tube experiments (reviewed in section IV.1), low temperature ( 350 K) rate constants extracted from discharge-flow tube experiments (reviewed in section IV.2), and computational studies (reviewed in section IV.3). A comparison of the rate constants from these sources along with new fits of the rate constants for each third-body are presented in section IV.4.
IV.1 High Temperature/ Shock Tube Experiments
Table 1 summarizes the relevant shock tube studies in the literature for dissociation. While there were differences in the measurement techniques and measured quantities used to determine the degree of dissociation in these studies, the overall method used to compute rate constants was the same. Namely, measurements were taken behind incident shocks of varying strengths and compositions, for mixtures composed of and a heavy noble gas (i.e., Ar, Xe, or Kr). Then, corresponding inviscid 1-D shock calculations were performed with varying rate constants assuming the linear mixture rule (see Appendix A) until the calculations could reproduce the measured results. For most studies, this was done by assuming that the dissociation rate constants followed the modified Arrhenius form given by
(82) |
or alternatively
(83) |
for recombination rate constants. Here, the scalars and are fitting parameters specific to each third-body. Because these experiments were conducted behind strong incident shocks, the dissociation process was dominant over recombination. Nevertheless, rate constants were often still reported in the recombination direction instead of dissociation by assuming .
Source | Measurement Method | M | [K] | [atm] |
---|---|---|---|---|
Gardiner and Kistiakowsky, 1961 Gardiner and Kistiakowsky (1961) | X-ray densitometry | , H, Xe | 3,000 - 4,500 | 3.6e-1 - 6.2e-1 |
Sutton, 1962 Sutton (1962) | light interferometry | 111Rate constants were obtained from the fits by Baulch et al. Baulch et al. (2005)., H222Rate constants were obtained via digitizations of the published plots., Ar111Rate constants were obtained from the fits by Baulch et al. Baulch et al. (2005). | 2,800 - 4,500 | 2.6e-2 - 1.3e-1 |
Rink, 1962 Rink (1962) | X-ray densitometry | , H, Ar, Xe, Kr | 2,800 - 5,000 | 1.2e-2 - 6.7e-2 |
Patch, 1962 Patch (1962) | UV absorption () | , H, Ar | 2,950 - 5,330 | 2.5e-3 - 1.1e-1 |
Jacobs, Geidt, and Cohen, 1967 Jacobs, Giedt, and Cohen (1967) | IR emission (trace HCl) | , H, Ar | 2,900 - 4,700 | 1.4e0 - 1.8e0 |
Myerson and Watt, 1968 Myerson and Watt (1968) | VUV absorption (H) | , Ar | 2,290 - 3,790 | 2.0e-1 - 1.0e0 |
Hurle, Jones, and Rosenfeld, 1969 Hurle, Jones, and Rosenfeld (1969) | Na or Cr line-reversal | , H222Rate constants were obtained via digitizations of the published plots., Ar | 2,500 - 7,000 | 6.6e-3 - 2.6e-2 |
Breshears and Bird, 1973 Breshears and Bird (1972) | laser schlieren | , H, Ar, Xe | 3,500 - 8,000 | 3.9e-3 - 6.6e-2 |
For all of the shock tube studies, one major source of uncertainty arises from the fact that the rate constants were fitted simultaneously for all three third-bodies (, H, and the chosen noble gas). Therefore, an underprediction of a rate constant for one third-body would result in an overprediction of the rate constant for a different third-body. Additionally, due to the limited temperature ranges, Gardiner and Kistiakowsky Gardiner and Kistiakowsky (1961), Rink Rink (1962), Patch Patch (1962), and Jacobs et al. Jacobs, Giedt, and Cohen (1967) reported that the temperature exponential term in the Arrhenius fits could not be determined reliably. As a consequence, these four studies all assumed a value of for their reported fits with all third-bodies. Therefore, while the magnitude of the reported rate constants from these four shock tube studies may be meaningful, the temperature dependencies may not be as accurate across larger temperature ranges. This will be discussed further in the context of other low temperature and computational data sets in section IV.4.
Based on the QSS and pre-QSS theories presented earlier in section II.3 and II.4, a relevant question is what impact non-equilibrium effects may have had on the reported rate constants from these shock tube studies. Based on Fig. 5, it is clear that pre-QSS effects were likely negligible even at the highest temperatures (7,000 - 8,000 K) investigated in the shock tube studies. However, the estimated fraction of dissociation that occurred in the non-recombining versus recombining regions varies significantly based on the number density conditions. To illustrate this point, Fig. 8 shows contours of the estimated fraction of dissociation that occurred in the non-recombining limit, computed using Eq. (44) and (50) for the case of M = . These limits are computed with and taken from Kim and Boyd Kim and Boyd (2012), and with = 0.25. Overlaid are the frozen and values from the shot conditions in the studies by Gardiner and Kistiakowsky Gardiner and Kistiakowsky (1961), Rink Rink (1962), and Patch Patch (1962), computed using the CEA code Gordon and McBride (1996). For the sake of clarity, only the shots from these three studies are plotted, however, the shot conditions from any of the other studies in Table 1 could be plotted similarly. From Fig. 8, it is clear that the fraction of dissociation that occurred in the non-recombining limit varied drastically for different shot conditions. For example, for some of the highest temperature cases by Patch, 95% of the dissociation is estimated to have occurred in the non-recombining limit; however, for the lowest temperature cases by Gardiner and Kistiakowski, this is just 15%.

Luckily, in all of the considered shock tube studies, it was assumed that dissociation and recombination rate constants were related via macroscopic detailed balance. As discussed in section II.3.3, and in particular as given by Eq. (41), this implies that the reported rate constant values from the shock tube studies correspond to (and where recombination rate constants were reported instead), regardless of the temperature and number density conditions in which the experiments were conducted.
IV.2 Low Temperature/ Discharge-Flow Tube Experiments
Table 2 summarizes the discharge-flow tube studies considered in the present work for the determination of rate constants at low temperatures ( 350 K). These experiments relied on a conventional dynamical flow tube setup, wherein atomic hydrogen was first generated, then continually pumped along a tube with measurements taken as H atom concentrations decayed with distance. The only exception to this is the study by Lynch et al. Lynch, Schwab, and Michael (1976), which instead relied on a static method with H atom decay measured instead as a function of time. It should be noted that there are a number of earlier discharge-flow tube studies in the literature (prior to 1960) that show a wide range of possible recombination rates near 300 K with approximately a magnitude of disagreement for the third-bodies M = and Ar. However, the previous reviews by Cohen and Westburg Cohen and Westberg (1983) and Baulch et al. Baulch et al. (2005) suggest that the rate constants reported by these earlier investigations are in doubt, and therefore they are not considered in the present work.
Source | Measurement Method | M | [K] | [atm] |
---|---|---|---|---|
Larkin, 1968 Larkin (1968) | calorimetric probe | 291 | 8.4e-3 | |
Ar | 213 - 349 | 6.0e-3 - 7.1e-3 | ||
Bennett and Blackmore, 1968 Bennett and Blackmore (1968) | ESR spectroscopy111Electron Spin Resonance spectroscopy. | , H222Only an upper bound value was provided. | 300 | 1.3e-3 - 1.3e-2 |
Bennett and Blackmore, 1970 Bennett and Blackmore (1970) | ESR spectroscopy111Electron Spin Resonance spectroscopy. | 300 | 1.8e-3 - 7.7e-3 | |
Bennett and Blackmore, 1971 Bennett and Blackmore (1971) | ESR spectroscopy111Electron Spin Resonance spectroscopy. | , He, Ar | 298 | 6.5e-2 - 3.3e-1 |
Trainor, Ham, and Kaufman, 1973 Trainor, Ham, and Kaufman (1973) | calorimetric probe | , He, Ar | 77 - 298 | 2.6e-3 - 2.0e-2 |
Lynch, Schwab, and Michael, 1976 Lynch, Schwab, and Michael (1976) | H Lyman- absorption | , He, Ne, Ar, Kr | 298 | 6.5e-1 - 2.0e0 |
Mitchell and LeRoy, 1977 Mitchell and LeRoy (1977) | capillary flow-meter | He333Both lower and upper bound values were reported. | 296.5 | 7.9e-3 - 2.4e-2 |
Rate constants are available from the listed sources for and the noble gases He, Ar, and Kr as third-bodies. Unfortunately, due to low temperature limitations, rates with H as a third-body could not reliably be determined using discharge-flow tube systems. Bennett and Blackmore Bennett and Blackmore (1968) proposed a room temperature recombination rate for M = H, but only as an upper bound. However, this value has been called into question by Baulch et al. Baulch (1972).
As was done implicitly in the previous reviews by Cohen and Westburg Cohen and Westberg (1983) and Baulch et al. Baulch et al. (2005), it is assumed that at the low temperatures encountered in the discharge-flow tube studies ( 350 K), there is no distribution dependence for the reported rate constants. As a consequence, the recombination rate constants reported in these studies are interpreted directly as estimates of . Additionally, it is assumed that recombination is a third-order reaction. The validity of this assumption is discussed in Appendix B.
IV.3 Computational Studies
Table 3 summarizes the computational studies considered in the present work. Each of these studies followed a similar methodology to that already discussed previously in section III.1 for the works of Kim and Boyd Kim and Boyd (2012) and Kim Kim (2015)/ Kim et al. Kim, Kwon, and Park (2009). Namely, state-specific relaxation and reaction rates were first computed using QCT calculations on detailed ab-initio PESs. Once converged state-specific rates were obtained, aggregate rate constants were computed. The specific method used to compute these aggregate rate constants differs slightly between the different studies.
Source | M | [K] | PES |
---|---|---|---|
Schwenke, 1990 Schwenke (1990) | 1,000 - 5,000 | Schwenke, 1988 Schwenke (1988) | |
H | 3,000 - 5,000 | Schwenke, 1988 Schwenke (1988) | |
Martin, Schwarz, and Mandy, 1996 Martin, Schwarz, and Mandy (1996) | H111The sum of dissociation via both collision-induced and tunneling contributions is considered in the present work. | 450 - 45,000 | Liu, Siegbahn, Truhlar, and Horowitz, 1978 Liu (1973); Siegbahn and Liu (1978); Truhlar and Horowitz (1978, 1979) |
Furudate, Fujita, and Abe, 2006 Furudate, Fujita, and Abe (2006) | 222Rate constants were obtained via digitizations of the published plots.333 was computed using two methods. Only the first (equivalent to Eq. (37)) is considered in the present work. | 5,000 - 50,000 | Schwenke, 1988 Schwenke (1988) |
Kim, Kwon, and Park, 2009 Kim, Kwon, and Park (2009) | H | 2,000 - 16,000 | Boothroyd, Keogh, Martin, and Peterson, 1996 Boothroyd et al. (1996) |
He | 2,000 - 16,000 | Boothroyd, Martin, and Peterson, 2003 Boothroyd, Martin, and Peterson (2003) | |
Kim, Kwon, and Park, 2010 Kim, Kwon, and Park (2010) | 4,000 - 30,000 | Schwenke, 1988 Schwenke (1988) | |
Kim and Boyd, 2012 Kim and Boyd (2012) | 222Rate constants were obtained via digitizations of the published plots. | 1,000 - 30,000 | Schwenke, 1988 Schwenke (1988) |
For the studies by Furudate et al. Furudate, Fujita, and Abe (2006), Kim and Boyd Kim and Boyd (2012), and both studies by Kim et al. Kim, Kwon, and Park (2009, 2010), aggregate dissociation rate constants were computed by using the same QSS formulation outlined in section II.3. As a consequence, the reported rate constants correspond directly to values of . For the study by Furudate et al. Furudate, Fujita, and Abe (2006), two sets of rate constants were reported: one based directly on QCT calculations, and one where the same underlying state-specific rate constants were modified by an arbitrary scaling factor to match the state-specific rate constants reported by Sharma Sharma (1994). These were labeled as the “uncorrected” and “corrected” rate constants, respectively. Both sets of rate constants are presented in section IV.4.
For the study by Martin et al. Martin, Schwarz, and Mandy (1996), recombination terms were not included in their formulation of the master equations, so their “steady-state” dissociation rate constants also correspond to . The authors reported two limiting dissociation rate constants: a “low density” rate constant for and a “high density” rate constant for , with a smooth transition in between. This dependence on appeared because radiative transitions were included in their calculations. For , radiative transitions were non-negligible and served to depopulate the excited state distribution, thereby lowering . However, the values of that are relevant for hypersonic entry calculations are generally several magnitudes greater than . Therefore, only the “high density” fit of is considered in the present work.
Finally, for the study by Schwenke Schwenke (1990), a different approach was taken in which isothermal simulations were first performed for a / H mixture using the master equations. Then, using several different approaches, corresponding phenomenological rate constants were extracted and compared. Of the tested methods, the most meaningful was determined to be the one in which and H number densities from the master equation calculations were substituted into the aggregate source term equations, Eq. (2) and (3), assuming the linear mixture rule (see Appendix A) and assuming that . This method was described as the “small master equation” approach. As shown in section II.3, this approach is equivalent to fitting values using Eq. (41). Because the maximum temperature simulated by Schwenke Schwenke (1990) was 5,000 K, pre-QSS effects (as estimated by Fig. 5) were negligible. Hence, the rate constants reported by Schwenke can also be interpreted directly as values of .
Of the four studies that computed rate constants for M = , only Kim and Boyd Kim and Boyd (2012) considered the complete set of state-to-state rate coefficients for both target and projectile molecules. The other three studies assumed that the internal state distribution of the projectile followed a Boltzmann distribution defined by either by the translational temperature (Schwenke Schwenke (1990) and Furudate et al. Furudate, Fujita, and Abe (2006)) or a separate non-equilibrium internal temperature (Kim et al. Kim, Kwon, and Park (2010)). As discussed by Kim and Boyd Kim and Boyd (2012), the reported dissociation rate constants from Kim et al. Kim, Kwon, and Park (2010) were still similar to those of Kim and Boyd Kim and Boyd (2012).
Outside of the master equation studies discussed above, there are a number of earlier studies in the literature that also relied on master equation calculations to compute dissociation rate constants. However, these earlier studies generally made several more simplifying assumptions. These assumptions include the local equilibrium/ Boltzmann treatment of the rotational mode Shui, Appleton, and Keck (1971); Shui and Appleton (1971); Shui (1973); Roberge and Dalgarno (1982); Esposito, Gorse, and Capitelli (1999), the calculation of state-specific rate constants using simple scaling laws instead of trajectory calculations Dove and Jones (1972); Lepp and Shull (1983), or the explicit treatment of only para- (as opposed to both ortho and para-) Blais and Truhlar (1979); Haug, Truhlar, and Blais (1987); Dove and Raynor (1979); Dove et al. (1987). Because the validity of these assumptions is questionable, these earlier studies are not considered for the review in the present work.
IV.4 Comparison and Fits of Rate Constant Data
Figure 9 shows the values of from all of the sources discussed in the previous sections. The rate constant data is plotted as instead of , as this significantly reduces the total change in magnitude of the plotted values between the low and high temperature regimes, making comparisons between different data sets easier. However, these plots should not be mistaken as plots of , as (see section II.3). Additionally, values are only plotted as functions of , as both and are functions of alone. For the cases with a noble gas as a third-body, i.e., M = He, Ne, Ar, Xe, and Kr, the rate constants have all been plotted together. While there have been some studies in the literature Shui and Appleton (1971); Whitlock, Muckerman, and Roberts (1974) that have indicated that the rate constants for dissociation are not identical between different noble gas third-bodies (especially between He and the heavier noble gases), the scatter of the rate constant data is seemingly larger than any of these differences. Therefore, it is assumed that any differences in dissociation rate constants for varying noble gas third-bodies are negligible.



There are two key observations that can be made about the rate constant data shown in Fig. 9. Firstly, while there is considerable scatter in both the discharge-flow tube and shock tube data, the computational data from the master equation studies are generally in good agreement with each other and roughly lie in the middle of the scatter of the experimental data. The only exception to this is the computational data of Furudate et al. Furudate, Fujita, and Abe (2006) (M = ), where there is disagreement between even the “corrected” and “uncorrected” versions of their rate constants. These two rate constants roughly bracket the rate constants from the other computational studies.
A second observation is that the temperature dependencies of most of the shock tube data are similar to that of the computational data between 2,000 and 5,000 K. Recall that Gardiner and Kistiakowsky Gardiner and Kistiakowsky (1961), Rink Rink (1962), Patch Patch (1962), and Jacobs et al. Jacobs, Giedt, and Cohen (1967) assumed a value of for their reported fits, as discussed previously in section IV.1. The other shock tube studies did not however, and report rate constants with similar magnitudes and trends. There are a couple of notable exceptions. For M = , Breshears and Bird Breshears and Bird (1972) report a rate constant that increases with temperature, which is inconsistent with all of the other studies. For M = H, Hurle et al. Hurle, Jones, and Rosenfeld (1969) argued that the extreme temperature dependence in their data (and that of Sutton Sutton (1962)), along with the low-temperature, “upper bound” estimate by Bennett and Blackmore Bennett and Blackmore (1968), suggested a non-monotonic trend in the M = H rate constant with a maximum value between approximately 2,000 and 3,000 K. This argument is not supported by the computational results of Martin et al. Martin, Schwarz, and Mandy (1996) and Kim et al. Kim, Kwon, and Park (2009), which predict monotonically decreasing trends with temperature. Shui Shui (1973) suggested that the high-temperature results of Hurle et al. Hurle, Jones, and Rosenfeld (1969) may be in error due to the reliance of their measurements on the assumption that the vibrational mode of was in thermal equilibrium with the translational mode. From section III.1, it is clear that for the higher temperatures in the experiments by Hurle et al. Hurle, Jones, and Rosenfeld (1969) (approaching 7,000 K), an assumption of thermal equilibrium would be invalid in the non-recombining QSS limit where < . Ultimately, this suggests that due to the lack of reliable low-temperature data for M = H, the temperature dependence of the M = H fit must be determined almost entirely from the computational studies of Martin et al. Martin, Schwarz, and Mandy (1996) and Kim et al. Kim, Kwon, and Park (2009).
Based on the results of the review, new rate constant fits are proposed and plotted along with the rate constants of Leibowitz Leibowitz (1973) in Fig. 9. The Leibowitz rate constants are the most widely used in the ice and gas giant entry flow literature Palmer, Prabhu, and Cruden (2014); Higdon et al. (2018); Liu et al. (2021); Hansson et al. (2021); Carroll and Brandis (2023); Carroll et al. (2023); Coelho and da Silva (2023); Rataczak, Boyd, and McMahon (2024), and are based on an extrapolation of the rate constants of Jacobs et al. Jacobs, Giedt, and Cohen (1967). A more detailed discussion of the Leibowitz rate constants is provided in Appendix C. The rate constant fits were chosen to lie in the middle of the scatter of both the low-temperature and high-temperature experimental data where available, while still following the larger temperature dependencies predicted by the computational studies. The proposed rate constant fits are summarized in Table 4. These fits are for instead of , as this was found to provide a better fit to the rate constant data. The M = H fit below 450 K and the M = {noble gas} fit above 16,000 K should be used with some caution, as the fits in these regions are extrapolations that go beyond the temperature ranges of the reviewed data.
M | |
---|---|
H | |
He, Ne, Ar, Xe, Kr |
Figure 10 shows the same rate constant data as Fig. 9, but now normalized by the fits of the present work. The majority of the reviewed data falls within a factor of two of the proposed fits, and in general, the fits reproduce the reviewed data more accurately than the rate constants of Leibowitz Leibowitz (1973). This is especially true in the lower temperature ranges, where the Leibowitz rate constants severely overpredict the reviewed data. This overprediction is not surprising, as the shock tube study of Jacobs et al. Jacobs, Giedt, and Cohen (1967) (upon which the Leibowitz rate constants are based) only measured rates to a minimum temperature of 2,900 K. The aerothermal heating uncertainty study for Saturn and Uranus entry probes by Palmer et al. Palmer, Prabhu, and Cruden (2014) assumed an uncertainty factor of 1 order of magnitude on the rate constants for dissociation with all third-bodies. The more recent uncertainty quantification study for ice giant aerocapture applications by Rataczak et al. Rataczak, Boyd, and McMahon (2024) instead assumed uncertainty bounds of 0.25 and 3 times the baseline rate constants. Both studies used the rate constants of Leibowitz Leibowitz (1973) as a baseline. The results of Fig. 9 highlight that, with the fits of the present work, an uncertainty factor of two is more appropriate than the wider uncertainty bounds used in either of these previous uncertainty quantification studies.



Figure 10 also shows that none of the rate constants from any one of the shock tube studies consistently over or underpredicts the fits for all three third-bodies. For example, in the case of Patch Patch (1962), the reported rate constants overpredict the fits for the M = and H cases, but underpredict the fit for the M = {noble gas} case. The only exception are the results of Myerson and Watt Myerson and Watt (1968), but only because they did not report a rate constant for the M = H case. This result suggests that while the total dissociation rates measured by the shock tube studies may be accurate, the reported third-body efficiencies may not be, possibly due to the simultaneous third-body fitting procedure that was used in all of the shock tube studies.
V Conclusion
In this work, a detailed description of the non-equilibrium dissociation of diatomic molecules was presented, then applied to the case of dissociation. The master equation formulation was used to analyze general non-equilibrium rate constant expressions in the thermal equilibrium limit, the QSS regime, and the pre-QSS regime. In the QSS regime (up to and including thermal equilibrium), it was found that the chemical source term could be described entirely as a function of the steady dissociation rate constant in the absence of recombination, , which in turn is only a function of the translational temperature, . To account for pre-QSS effects, a simple modification of the QSS rate constant expression was proposed through the use of an additional rate constant term, . The complete expression, which is ultimately only a function of and the fraction of dissociation, , was able to reproduce the results of detailed master equation simulations of a 0-D isothermal and isochoric reactor for the case of dissociation with the third-bodies , H, and He. Finally, an extensive review of for dissociation was performed by considering both experimental and computational data sources. From this review, fits of that could describe the majority of the reviewed rate constants from the literature within a factor of two were proposed for each relevant third-body.
Practically, if pre-QSS effects can be neglected, the use of the QSS source term expression of Eq. (41) along with the fits of from Table 4 are recommended. By implementing the fits of as “recombination” rate constants, the dissociation rate constants, , can be computed by applying macroscopic detailed balance, where can be computed readily using the NASA9 polynomial fits of McBride et al. McBride, Zehe, and Gordon (2002). If pre-QSS effects are non-negligible, the same approach can be applied, but instead through the use of the pre-QSS corrected source term (Eq. (78)) and rate constant (Eq. (75) with and the fits of from section III.2) expressions.
There are two caveats that should be considered when using the rate constant expressions proposed in the present work. First, for the simulation of mixtures, the analysis presented is only strictly valid when the dissociation of the diatomic molecule of interest, e.g., , occurs in an infinitely dilute bath composed solely of one third-body. However, in most practical CFD simulations and shock tube experiments, dissociation does not occur in an infinitely dilute bath, but instead occurs in a multi-component mixture. If the linear mixture rule is assumed such that the chemical source terms can be computed as just a linear sum over each of the third-bodies in the mixture, then, the same expressions proposed in this work can be used directly. This is discussed in more detail in Appendix A.
Separately, it is not clear if the proposed expressions are sufficient for the accurate simulation of recombination-dominated flows at high temperatures. As highlighted in the recent study by Macdonald Macdonald (2024), recombining flows are characterized by internal state distributions with an overpopulation of excited states (relative to a Boltzmann distribution). This is the opposite of the QSS behavior in dissociation-dominated flows, which is characterized by an underpopulation of excited states Singh and Schwartzentruber (2017, 2020c). As implied by Eq. (11), this difference in rovibrational distributions will lead to different behaviors of the aggregate dissociation rate constant, . This means that even if the recombination rate constant is always given by , the chemical source term will not be accurately predicted without considering the impact of this difference in dissociation rates. The further analysis of this topic will be the subject of future work.
Acknowledgements.
This work is supported by the NASA entry systems modeling project under grant number 80NSSC21K1751.Author Declarations
Conflict of Interest
The authors have no conflicts to disclose.
Author Contributions
Alex T. Carroll: Conceptualization (equal), Methodology (equal), Data curation (lead), Formal analysis (lead), Investigation (lead), Software (lead), Validation (lead), Visualization (lead), Writing - original draft (lead), Writing - review and editing (equal). Jacob Wolmer: Data curation (supporting), Investigation (supporting), Visualization (supporting). Guillaume Blanquart: Conceptualization (equal), Methodology (equal), Formal analysis (supporting), Writing - review and editing (equal), Funding acquisition (lead), Supervision (lead). Aaron M. Brandis: Writing - review and editing (supporting), Supervision (supporting). Brett A. Cruden: Writing - review and editing (supporting), Supervision (supporting).
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Appendix A Dissociation in Multi-Component Mixtures
Throughout the present work, only dissociation that occurs in a single-component mixture, i.e., dissociation in an infinitely dilute bath composed solely of one third-body, has been considered. However, for most practical simulations and experiments of interest, it is necessary to consider dissociation that occurs in a multi-component mixture. Considering again the general diatom , for a mixture, the source term for A can be written as
(84) |
where and are the state-specific dissociation and recombination rate constants with the third-body M. Because the recombination term in Eq. (84) is not a function of the internal state distribution of , it is the sum of the recombination terms of all third-bodies considered independently. This is not true for the dissociation term in Eq. (84), as is now determined through collisions with all third-bodies in the mixture. Stated differently, the mixture-dependent in Eq. (84) is not necessarily the same as the distributions obtained in the single-component cases, denoted here as .
The most common method for relating to is through the use of the linear mixture rule. In the linear mixture rule, it is assumed that the source term for A can be computed as
(85) |
Here, , , and are the source term and aggregate dissociation and recombination rate constants for the single-component cases. To get Eq. (85) from the general expression of Eq. (84), it is sufficient to assume that is related to by
(86) |
In other words, is a linear combination of weighted by the state-specific branching ratios.
As discussed by Boyd Boyd (1977), Dove et al. Dove, Halperin, and Raynor (1984), and Carruthers and Teitelbaum Carruthers and Teitelbaum (1988), the range of validity of the linear mixture rule is an open question. Unfortunately, to the authors’ knowledge, there are currently no detailed/ master equation simulation data available for / H/ He mixtures. Therefore, the recommended practice remains to use Eq. (85) for the simulation of mixtures.
Appendix B Recombination as a Second or Third-Order Process
Throughout this work, it has been implicitly assumed that recombination is a third-order process. This assumption has been made in the master equations and the subsequent QSS formulation presented in sections II and III, as well as in the interpretation of rate constant data from the literature for dissociation throughout section IV. In particular, it has been assumed that recombination occurs as the direct inverse process of dissociation, and hence that recombination rates can be characterized entirely by applying the micro-reversibility relation of Eq. (8).
Under certain pressure and temperature conditions however, recombination can occur primarily as a second-order process. This can be seen by considering recombination that occurs through a series of two-body collisions, as opposed to a “direct” three-body collision. As reviewed by Mirahmadi and Pérez-Ríos Mirahmadi and Pérez-Ríos (2022), this “indirect” approach treats recombination in two steps. First, two bodies collide to form an intermediate complex,
(87) |
Then, this intermediate complex is stabilized into a bound state/ recombined molecule via a collision with a third-body,
(88) |
Here, is a generic diatom as before, and is an intermediate complex/ quasibound state. These quasibound states are bound classically, but have a finite lifetime quantum mechanically due to tunneling. If the backwards direction of reaction (87) is dominant, recombination will occur primarily as a third-order process. Conversely, if the forwards direction of reaction (88) is dominant, recombination will occur primarily as a second-order process.
In detailed chemical models, the pressure dependence of a recombination reaction rate is often modeled with the Lindemann form Lindemann et al. (1922) or the more general Troe form Gilbert, Luther, and Troe (1983). In the Lindemann expression, low-pressure and high-pressure rate constants, and respectively, are first defined. Then, the rate constant at any intermediate pressure is computed as
(89) |
where
(90) |
is the reduced pressure. For an infinitely dilute mixture with the third-body, M, . For the recombination of a diatom, the high-pressure and low-pressure limits correspond to the limits dominated by two-body and three-body collisions, respectively. For , can be estimated by using the rate constant fits from section IV.4. on the other hand can be estimated by using the upper-bound value of the bimolecular collision rate for homonuclear collisions,
(91) |
where is the hard-sphere collision cross section with Jasper and Miller (2014), and kg is the reduced mass. Of all of the discharge-flow tube studies considered in section IV.2, the experiments by Lynch et al. Lynch, Schwab, and Michael (1976) at 298 K and atm exhibit the largest values of and hence the furthest departures from the low-pressure limit. However, even at this condition, as estimated by Eq. (90) is still approximately . Therefore, from Eq. (89), , and the choice to interpret the rate constants from the discharge-flow tube studies as third-order is appropriate.
Outside of the discharge-flow tube studies, there have been a number of computational studies Pack, Snow, and Smith (1972); Whitlock, Muckerman, and Roberts (1972, 1974); Orel (1987); Schwenke (1988); Esposito and Capitelli (2009); Forrey (2013) that have directly computed the third-order recombination rate constant of by using the resonance complex theory of Roberts et al. Roberts, Bernstein, and Curtiss (1969). In this theory, it is assumed that recombination occurs exclusively through the indirect pathway. Then, a small number of select quasibound states are considered to be in equilibrium with the continuum (i.e., reaction (87)), and the downward flux of these quasibound states (i.e., reaction (88)) are assumed to be predominantly responsible for the recombination rate. Unfortunately, the accuracy of the phenomenological PESs used in several of these studies is questionable, and as pointed out by Schwenke Schwenke (1988, 1990), the reported rate constants from these studies are not always consistent with the high-temperature experimental and computational rate constants reviewed in sections IV.1 and IV.3, respectively. For these reasons, the studies based on the resonance complex theory are not considered for the review in the present work.
Appendix C Rate Constants of Leibowitz
Three different sets of dissociation rate constants have been proposed by Leibowitz, namely the models in Leibowitz Leibowitz (1973), Leibowitz et al. Leibowitz, Menard, and Stickford (1973), and Leibowitz and Kuo Leibowitz and Kuo (1976). The reported rate constants are summarized below in Table 5. In all three versions, the rate constants for the third-bodies M = and H are evaluated from the M = He case using a constant multiplicative factor.
M = He | M = | M = H | |
---|---|---|---|
Leibowitz, 1973 Leibowitz (1973) | 111The term inside the exponential is mistakenly reported as a positive value in Leibowitz Leibowitz (1973). | ||
Leibowitz et al. 1973 Leibowitz, Menard, and Stickford (1973) | 222The leading term is mistakenly reported as just in both Leibowitz et al. Leibowitz, Menard, and Stickford (1973) and Leibowitz and Kuo Leibowitz and Kuo (1976). | ||
Leibowitz and Kuo, 1976 Leibowitz and Kuo (1976) | 222The leading term is mistakenly reported as just in both Leibowitz et al. Leibowitz, Menard, and Stickford (1973) and Leibowitz and Kuo Leibowitz and Kuo (1976).333The term is mistakenly reported as in Leibowitz and Kuo Leibowitz and Kuo (1976). |
It is important to note that the three different sets of rate constants are not based on the same source of rate constant data. For the first set, Leibowitz Leibowitz (1973) cites the shock tube study of Jacobs et al. Jacobs, Giedt, and Cohen (1967). For the second set, Leibowitz et al. Leibowitz, Menard, and Stickford (1973) cites the shock tube study of Hurle et al. Hurle, Jones, and Rosenfeld (1969), adding that the rate constants were selected to be “consistent with shock tube measurements below 7,000 K, reach a maximum at 20,000 K, and then decay with increasing temperature”. Finally, for the third set by Leibowitz and Kuo Leibowitz and Kuo (1976), the same temperature dependence and third-body efficiencies are used as in the second set by Leibowitz et al. Leibowitz, Menard, and Stickford (1973), but the rate constants are all increased by a factor of four. Leibowitz and Kuo Leibowitz and Kuo (1976) do not provide an explanation for this change, and simply cite the two previous sets of rate constants by Leibowitz Leibowitz (1973) and Leibowitz and Kuo Leibowitz, Menard, and Stickford (1973) as the source for these rate constants.
Figure 11 shows the rate constants (plotted as ) for all three formulations compared to the fits from the shock tube studies of Jacobs et al. Jacobs, Giedt, and Cohen (1967) and Hurle et al. Hurle, Jones, and Rosenfeld (1969). While the rate constants of Leibowitz Leibowitz (1973) and Leibowitz and Kuo Leibowitz and Kuo (1976) are similar to each other and to the rate constants of Jacobs et al. Jacobs, Giedt, and Cohen (1967) for the temperature range between approximately 3,000 and 5,000 K, the rate constants of Leibowitz et al. Leibowitz, Menard, and Stickford (1973) are consistently lower for all three third-bodies. Additionally, despite citing the shock tube study by Hurle et al. Hurle, Jones, and Rosenfeld (1969), the rate constants of Leibowitz et al. Leibowitz and Kuo (1976) do not follow the rate constants proposed by Hurle et al. Hurle, Jones, and Rosenfeld (1969).



Although Fig. 11 highlights that there are apparent differences between the three sets of rate constants proposed by Leibowitz Leibowitz (1973); Leibowitz, Menard, and Stickford (1973); Leibowitz and Kuo (1976), many of the studies in the ice and gas giant entry flow literature cite the three different formulations interchangeably. To the authors’ knowledge, all of the studies that have implemented and used the rate constants attributed to Leibowitz Palmer, Prabhu, and Cruden (2014); Higdon et al. (2018); Liu et al. (2021); Hansson et al. (2021); Carroll and Brandis (2023); Carroll et al. (2023); Coelho and da Silva (2023); Rataczak, Boyd, and McMahon (2024) have used the rate constants from the first formulation of Leibowitz Leibowitz (1973), as they follow the modified Arrhenius form and thus can be readily implemented in most CFD codes. For this reason, comparisons are only made to this first set of rate constants from Leibowitz Leibowitz (1973) in section IV.4.
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