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A confined rod: mean field theory for hard rod-like particles

Jamie M. Taylor 1, Thomas G. Fai 2, Epifanio G. Virga3,
Xiaoyu Zheng 4, Peter Palffy-Muhoray 4,5
1 CUNEF Universidad, Madrid, Spain
2 Department of Mathematics and Volen Center for Complex Systems,
 Brandeis University Waltham, MA, USA
3 Dipartimento di Matematica, Università di Pavia, Pavia, Italy
4 Department of Mathematical Sciences, Kent State University, Kent,   OH, USA
5Advanced Materials and Liquid Crystal Institute, Kent State University, Kent, OH, USA
0000-0002-5423-828X, jamie.taylor@cunef.edu0000-0003-0383-5217, tfai@brandeis.edu0000-0002-2295-8055, eg.virga@unipv.it0000-0002-3787-7741, xzheng3@kent.edu0000-0002-9685-5489, mpalffy@kent.edu
Abstract

In this paper, we model the configurations of a system of hard rods by viewing each rod in a cell formed by its neighbors. By minimizing the free energy in the model and performing molecular dynamics, where, in both cases, the shape of the cell is a free parameter, we obtain the equilibrium orientational order parameter, free energy and pressure of the system. Our model enables the calculation of anisotropic stresses exerted on the walls of the cell due to shape change of the rod in photoisomerization. These results are a key step towards understanding molecular shape change effects in photomechanical systems under illumination.

1 Introduction

Our motivation for this work is to gain insights into photomechanical materials which convert light energy directly into mechanical work. Azo-dye containing nematic liquid crystal elastomers (LCEs) are one example of such materials [1, 2, 3, 4]. Under illumination, dye molecules can undergo photoisomerization, changing their shape, resulting in the macroscopic deformation of samples, which can exert forces and do mechanical work.

Here we aim to understand the mechanics of bulk shape change of such materials from a microscopic perspective. Specifically, we consider a system of hard rod-like particles which interact via hard-core steric interactions, conserving linear and angular momentum and energy. At low number densities, we expect the system to be isotropic, but as the number density is increased, a transition to an orientationally ordered phase is expected. Unlike in Onsager theory [5], where the pair-excluded volume plays an essential role, we regard each rod as being effectively confined in a local cell – a rectangular box or an ellipsoid – created by neighboring particles, where the free volume of each particle in its cell determines the phase behavior.

There are various cell models for hard spheres [6, 7]. In cell theories, the free volume for non-interacting rigid spheres is defined as that volume of the cell in which the center of mass of a particular molecule is able to move when all of the other molecules in the liquid or dense gas are held fixed at their mean lattice positions. The single occupancy model, with one particle per cell, works well at high densities, but less well at low densities. To rectify the situation, the concept of ‘communal entropy’ was introduced to describe the solid-fluid phase transition [8].

As a first attempt for rod-like particles, in this paper, we shall only consider the single occupancy model where each rod is confined to its private cell. Rather than considering the precise geometry of the boundary of the cell described by the neighboring particles, we assume that the cell can be approximated via a geometric mean field, formed from a simple geometry (cuboidal or ellipsoidal) of given volume. We anticipate our results to produce quantitatively accurate thermodynamic properties, such as orientational order, pressure and energy in the high density regime.

The paper is organized as follows. In section 2, we lay out our mean-field theory, where each particle is regarded as being confined to a cell defined by its neighbors. The free volume of a particle in a given cell depends on its orientation; the free energy depends on the average free volume over all possible particle orientations available to the center of the particle in its cell. At a given volume fraction, the cell adopts a shape which maximizes the average free volume, or, equivalently, minimizes the free energy. In section 3, we apply the theory to the case of an ellipsoid in a rectangular cell, and compare the results with those from molecular dynamics simulations. We also consider the limiting case of a needle in an ellipsoidal cell. In section 4, we discuss the effects of shape change in both rectangular and ellipsoidal cells. The paper is summarized in the conclusion section 5.

2 Mean-field theory

The Helmholtz free energy for a system of NN indistinguishable particles in volume VV at temperature TT is given by [7]

F=kTlnZtot,F=-kT\ln Z_{tot}, (1)

where kk is Boltzmann’s constant and ZtotZ_{tot} is the total partition function. After integrating over momenta, this is given by

Ztot=1ΛdB3NN!eH(𝐪1,,𝐪N)kT𝑑𝐪1𝑑𝐪N,Z_{tot}=\frac{1}{\Lambda_{dB}^{3N}N!}\int e^{-\frac{H(\mathbf{q}_{1},...,\mathbf{q}_{N})}{kT}}d\mathbf{q}_{1}...d\mathbf{q}_{N}, (2)

where ΛdB\Lambda_{dB} is the de Broglie wavelength, 𝐪i=(𝐫i,𝐦^i)\mathbf{q}_{i}=(\mathbf{r}_{i},\mathbf{\hat{m}}_{i}) is the generalized coordinate of the ii-th particle, where 𝐫i\mathbf{r}_{i} is the position of center of mass and 𝐦^i\mathbf{\hat{m}}_{i} is a unit vector along the symmetry axis of the particle.

The essence of mean field theory is to approximate the potential energy of the system by the sum of identical single-particle potentials, which describe the interaction of each particle with an effective mean field [9]. Single-particle potentials are not unique, but they must satisfy certain consistency conditions [10]. In this work, we assume that there are no long-range, attractive interactions and the particles are kept in a prescribed volume VV by an adjustable external pressure. Since the interactions are steric, the particles cannot overlap. As a first attempt, then, following the single-particle potential construction procedure in [10], we obtain the single particle potential,

U(𝐪)={0,if particle is wholly within the cell, andif it is not,U(\mathbf{q)=}\left\{\begin{array}[]{cc}0,&\text{if particle is wholly within the cell, and}\\ \infty&\text{if it is not,}\end{array}\right. (3)

which satisfies the consistency requirements. Each particle is thus confined to a cell 𝒞\mathcal{C} defined by the surrounding particles. Although in a real system the cells have non-uniform distributions and fluctuate in time, here, in order to make the model tractable, we assume that the cells are frozen in time and all of equal size.

The total partition function is

Ztot=zN=(1ΛdB3eU(𝐪1)kT𝑑𝐪1)N,Z_{tot}=z^{N}=\left(\frac{1}{\Lambda_{dB}^{3}}\int e^{-\frac{U(\mathbf{q}_{1})}{kT}}d\mathbf{q}_{1}\right)^{N}, (4)

where zz is the single-particle partition function, and U(𝐪1)U(\mathbf{q}_{1}) is the single-particle potential in Eq. (3). Being now in individual cells, all particles are effectively distinguishable and there is no need for the Boltzmann factor 1/N!1/N! as in Eq. (2).

The integration over position 𝐫1\mathbf{r}_{1} in Eq. (4) gives the free volume Vf(𝐦^,𝒞)V_{f}(\mathbf{\hat{m},}\mathcal{C}), the volume accessible to the center of the particle in the cell 𝒞\mathcal{C} for a given particle orientation 𝐦^\mathbf{\hat{m}}. That is,

z=1ΛdB3eU(𝐪1)kT𝑑𝐪1=1ΛdB3S2𝒞eU(𝐪1)kT𝑑𝐫1𝑑𝐦1=1ΛdB3S2Vf(𝐦^1,𝒞)𝑑𝐦^1.z=\frac{1}{\Lambda_{dB}^{3}}\int e^{-\frac{U(\mathbf{q}_{1})}{kT}}d\mathbf{q}_{1}=\frac{1}{\Lambda_{dB}^{3}}\int_{S^{2}}\int_{\mathcal{C}}e^{-\frac{U(\mathbf{q}_{1})}{kT}}d\mathbf{r}_{1}d\mathbf{m}_{1}=\frac{1}{\Lambda_{dB}^{3}}\int_{S^{2}}V_{f}(\mathbf{\hat{m}}_{1},\mathcal{C})d\mathbf{\hat{m}}_{1}. (5)

The total partition function in Eq. (4) can then be rewritten as

Ztot(𝒞)=(1ΛdB3S2Vf(𝐦^,𝒞)𝑑𝐦^)N.Z_{tot}(\mathcal{C)}=\left(\frac{1}{\Lambda_{dB}^{3}}\int_{S^{2}}V_{f}(\mathbf{\hat{m},}\mathcal{C})d\mathbf{\hat{m}}\right)^{N}. (6)

The free energy in Eq. (1) can be approximated, to within an inessential additive constant, as

F=NkTln1ΛdB3S2Vf(𝐦^,𝒞)𝑑𝐦^.F=-NkT\ln\frac{1}{\Lambda_{dB}^{3}}\int_{S^{2}}V_{f}(\mathbf{\hat{m},}\mathcal{C})d\mathbf{\hat{m}}. (7)

The free energy density =F/(NVcell)\mathcal{F}=F/(NV_{cell}) may be written in the more familiar form

=kTρ0lnρ0kTρ0ln1ΛdB31VcellS2Vf(𝐦^,𝒞)𝑑𝐦^,\mathcal{F}=kT\rho_{0}\ln\rho_{0}-kT\rho_{0}\ln\frac{1}{\Lambda_{dB}^{3}}\frac{1}{V_{cell}}\int_{S^{2}}V_{f}(\mathbf{\hat{m}},\mathcal{C})d\mathbf{\hat{m}}, (8)

where ρ0=1/Vcell\rho_{0}=1/V_{cell} is the number density, but for our purposes Eq. (7) suffices.

The orientational probability density function ρ(𝐦^)\rho(\mathbf{\hat{m})} is

ρ(𝐦^)=Vf(𝐦^,𝒞)S2Vf(𝐦^,𝒞)𝑑𝐦^,\rho(\mathbf{\hat{m}})=\frac{V_{f}(\mathbf{\hat{m}},\mathcal{C})}{\int_{S^{2}}V_{f}(\mathbf{\hat{m}},\mathcal{C})d\mathbf{\hat{m}}}, (9)

and the orientational order parameter tensor 𝐐\mathbf{Q} is

𝐐=S212(3𝐦^𝐦^𝕀)Vf(𝐦^,𝒞)𝑑𝐦^S2Vf(𝐦^,𝒞)𝑑𝐦^,\mathbf{Q}=\frac{\int_{S^{2}}\frac{1}{2}(3\mathbf{\hat{m}\hat{m}}-\mathbb{I})V_{f}(\mathbf{\hat{m},}\mathcal{C})d\mathbf{\hat{m}}}{\int_{S^{2}}V_{f}(\mathbf{\hat{m},}\mathcal{C})d\mathbf{\hat{m}}}, (10)

where is 𝕀\mathbb{I} the identity tensor. The scalar order parameters are projections of 𝐐\mathbf{Q} onto the principal directions of the cell 𝐞^i𝐞^i\mathbf{\hat{e}}_{i}\mathbf{\hat{e}}_{i}, and

S2i=𝒫2(𝐦^𝐞^i),S_{2i}=\left\langle\mathcal{P}_{2}(\mathbf{\hat{m}\cdot\hat{e}}_{i})\right\rangle, (11)

where 𝒫2(x)\mathcal{P}_{2}(x) is the second Legendre polynomial. For simiplicity, we drop the subscript ii, and understand that 𝐞^\mathbf{\hat{e}} refers to the distinguished direction of the cell. The order parameter tensor is the normalized traceless second moment of the orientational distributions function; the first moment vanishes due to the quadrupolar symmetry of the rodlike particles. We focus primarily on 𝐐\mathbf{Q} in this work, however, higher order moments are also present, and shall be discussed below.

In general, self-consistency requires that free parameters of the mean-field pseudopotential be chosen so as to minimize the free energy. In the present setting, it is the cell shape itself that needs to be so chosen. We next address this issue in general for a given cell volume VcellV_{cell} before considering more specific instances.

2.1 Cell shape and pressure

We first show that, independent of the shape of the cell, the Cauchy stress tensor 𝝈\bm{\sigma}, associated at equilibrium with the free energy FF, is isotropic, and so its effect on the walls of the cell reduces to uniform pressure. Here we consider the minimiser 𝒞\mathcal{C} over a family of cells described as a linear, volume preserving transformation of a reference cell 𝒞0\mathcal{C}_{0}. We assume that the cell 𝒞0\mathcal{C}_{0} is of some arbitrary shape (say, a parallelepiped, for definiteness), and let 𝐅\mathbf{F} denote a corresponding deformation gradient. Thus FF can be regarded as a function of 𝐅\mathbf{F}, whose explicit form need not be specified at this stage, provided that it is sufficiently smooth. The Cauchy stress 𝝈\bm{\sigma} exerted on the walls of 𝒞\mathcal{C} is [11]

𝝈=1det𝐅F𝐅𝐅T.\bm{\sigma}=\frac{1}{\det{\mathbf{F}}}\frac{\partial F}{\partial{\mathbf{F}}}\cdot{\mathbf{F}}^{T}. (12)

For 𝒞\mathcal{C} and 𝒞0\mathcal{C}_{0} to have the same volume VcellV_{cell}, 𝐅\mathbf{F} must obey the constraint

det𝐅1.\det\mathbf{F}\equiv 1. (13)

Stationarity of FF over this constraint requires that

F𝐅=λ𝐅det𝐅,\frac{\partial F}{\partial\mathbf{F}}=\lambda\frac{\partial}{\partial\mathbf{F}}\det\mathbf{F}, (14)

where λ\lambda is a Lagrange multiplier. Since, for an invertible tensor 𝐅\mathbf{F},

𝐅det𝐅=(det𝐅)𝐅T,\frac{\partial}{\partial\mathbf{F}}\det{\mathbf{F}}=(\det\mathbf{F})\mathbf{F}^{-T}, (15)

it follows from Eqs. (12), (14), and (15) that

𝝈=1det𝐅F𝐅𝐅T=λ𝕀.\bm{\sigma}=\frac{1}{\det{\mathbf{F}}}\frac{\partial F}{\partial{\mathbf{F}}}\cdot{\mathbf{F}}^{T}=\lambda\mathbb{I}. (16)

Eq. (16) indicates that the pressure is isotropic in equilibrium, and the Lagrange multiplier reduces to the (isotropic) pressure.

We remark that a stress also acts on the particle inside the cell, and if the pressure is isotropic on the cell walls, it will not, in general, be isotropic on the particle - and vice versa.

3 Results

In this section, we first present results for a uniaxial ellipsoid in a rectangular cell where the free volume is calculated by numerical integration, and then compare these results with those from molecular dynamics. We then present the case of a needle in an ellipsoidal cell, where an analytical solution is possible.

3.1 Uniaxial ellipsoid in a rectangular cell

Here we consider the case when the cell is a parallelepiped and the particle is a uniaxial ellipsoid. We conjecture, as suggested by numerics, that the orientational averaged free volume of an ellipsoid in a parallelepiped cannot attain its maximum and free energy its minimum when the cell faces are not orthogonal. Furthermore, if the particle has uniaxial symmetry, the maximum free volume occurs when the cell is uniaxial. Therefore here we consider uniaxial rectangular cells, and apply the mean field theory of Section 2 to the case of a rigid uniaxial ellipsoid in a uniaxial rectangular cell.

Let aa and bb be the lengths of the semiaxes of the uniaxial ellipsoid in the directions along and perpendicular to the symmetry axis. The equation of the ellipsoid is

𝐫𝐀𝐫=1,\mathbf{rAr}=1, (17)

where

𝐀=1b2𝕀+(1a21b2)𝐦^𝐦^,\mathbf{A}=\frac{1}{b^{2}}\mathbb{I}+(\frac{1}{a^{2}}-\frac{1}{b^{2}})\mathbf{\hat{m}\hat{m},} (18)

and 𝐦^\mathbf{\hat{m}} is along the symmetry axis. The aspect ratio, the ratio of the length of the distinguished semi-axis to that of one of the others, is η=a/b\ \eta=a/b. Alternately, we can consider the uniaxial affine deformation of a sphere of radius RR to form this ellipsoid; the principal stretches are λ1=a/R\lambda_{1}=a/R, λ2=λ3=b/R\lambda_{2}=\lambda_{3}=b/R. If the volume is conserved, λ2=λ3=1/λ1\lambda_{2}=\lambda_{3}=1/\sqrt{\lambda_{1}}, and the aspect ratio

η=λ3/2,\eta=\lambda^{3/2}, (19)

where λ\lambda indicates stretch along the distinguished principal direction. The aspect ratio η\eta and stretch λ\lambda will be used interchangeably to describe particle and cell shapes.

The particle volume is vp=4πab2/3v_{p}=4\pi ab^{2}/3 and the occupied volume fraction is ϕ=vp/Vcell=vpρ0\phi=v_{p}/V_{cell}=v_{p}\rho_{0}.

The extent of the ellipsoid with orientation 𝐦^\mathbf{\hat{m}} in direction 𝐍^\mathbf{\hat{N}} is

h(𝐍^)=a2(𝐦^𝐍^)2+b2(1(𝐦^𝐍^)2),h(\mathbf{\hat{N})}=\sqrt{a^{2}(\mathbf{\hat{m}\cdot\hat{N}})^{2}+b^{2}(1-(\mathbf{\hat{m}\cdot\hat{N}})^{2})}, (20)

and in the principal directions of the cell this is

hi=a2mi2+b2(1mi2),i=1,2,3.h_{i}=\sqrt{a^{2}m_{i}^{2}+b^{2}(1-m_{i}^{2})},i=1,2,3. (21)

The free volume available to the center of the ellipsoid is then simply

Vf(𝐦^,𝒞)=i=13max{di2hi,0},V_{f}(\mathbf{\hat{m}},\mathcal{C})=\prod_{i=1}^{3}\max\{d_{i}-2h_{i},0\}, (22)

where did_{i}’s are lengths of the cell along its principal directions. A 2D illustration of the free volume of an ellipse in a rectangular cell is given in Fig. 1.

Refer to caption
Figure 1: Illustration of the free volume available to a convex particle in a polygonal cavity.

The free energy of one cell, from Eq. (7), is

Fc=kTlnS2i=13max(di2hi(𝐦^),0)d𝐦^,F_{c}=-kT\ln\int_{S^{2}}\prod_{i=1}^{3}\max(d_{i}-2h_{i}(\mathbf{\hat{m}}),0)d\mathbf{\hat{m}}, (23)

where we have omitted 3lnΛdB-3\ln\Lambda_{dB}. For simplicity, we will drop the subscript, and with the understanding that the free energy FF is for a single cell. The free energy FF can therefore be calculated by straightforward numerical integration of Eq. (23) using, say, the quasi-Monte Carlo method. Local minima/maxima can be identified via standard gradient descent/ascent methods.

Let d2=d3d_{2}=d_{3} be the lengths of the cell along two principal directions, and d1d_{1} be the length along the third, the distinguished principal direction. The aspect ratio of the cell is ηcell=d1/d2\eta_{cell}=d_{1}/d_{2}; the stretch is λcell=ηcell2/3\lambda_{cell}=\eta_{cell}^{2/3}. The cell is considered prolate if ηcell>1\eta_{cell}>1 and oblate if ηcell<1\eta_{cell}<1. In calculating the equilibrium free energy, at each volume fraction, we use ηcell\eta_{cell}, which minimizes the free energy, to satisfy self-consistency.

We note that if the maximum (linear) dimension of the ellipsoid exceeds the minimum dimension of the cell, then the cell will exclude some orientations of the ellipsoid. In the case of a cubic domain, with ηcell=1\eta_{cell}=1, this occurs at a critical volume fraction; the corresponding critical volume fractions are

ϕcp=4π3ab2(2a)3=π6(ba)2\phi_{cp}=\frac{\frac{4\pi}{3}ab^{2}}{(2a)^{3}}=\frac{\pi}{6}\left(\frac{b}{a}\right)^{2} (24)

for prolate and

ϕco=4π3ab2(2b)3=π6(ab)\phi_{co}=\frac{\frac{4\pi}{3}ab^{2}}{(2b)^{3}}=\frac{\pi}{6}\left(\frac{a}{b}\right) (25)

for oblate ellipsoids.

Refer to caption
(a)
Refer to caption
(b)
Refer to caption
(c)
Refer to caption
(d)
Figure 2: Results for uniaxial ellipsoids with aspect ratio ηparticle=2\eta_{particle}=2 (left column) and ηparticle=0.5\eta_{particle}=0.5 (right column) in a rectangular box. Top row: pressure PP (left axes) and cell aspect ratio ηcell\eta_{cell} (right axes) vs. volume fraction ϕ\phi. Bottom row: free energy FF (left axes) and scalar order parameter S2S_{2} (right axes) vs. volume fraction ϕ\phi. Only locally stable solutions are shown. Dotted curves are for isotropic phases where the cell is a cube, the dashed curves are for oblate phases with S2<0S_{2}<0 and solid curves are for prolate phase with S2>0S_{2}>0.
Refer to caption
(a) (ϕ,ηcell)=(0.13,1)(\phi,\eta_{cell})=(0.13,1)
Refer to caption
(b) (ϕ,ηcell)=(0.153,1.17)(\phi,\eta_{cell})=(0.153,1.17)
Refer to caption
(c) (ϕ,ηcell)=(0.23,1.57)(\phi,\eta_{cell})=(0.23,1.57)
Refer to caption
(d) (ϕ,ηcell)=(0.15,0.78)(\phi,\eta_{cell})=(0.15,0.78)
Refer to caption
(e) (ϕ,ηcell)=(0.29,0.65)(\phi,\eta_{cell})=(0.29,0.65)
Refer to caption
Figure 3: Orientational distribution function for a uniaxial prolate ellipsoid with aspect ratio ηparticle=2\eta_{particle}=2 at various volume fractions ϕ\phi in a cube ηcell=1\eta_{cell}=1(a), a prolate cell with ηcell>1\eta_{cell}>1 (b,c) and an oblate cell with ηcell<1\eta_{cell}<1 (d,e). Each plot is scaled so that its maximum value is 1, and the regions in black correspond to where the probability is zero.

Figure 2 shows the results for two representative ellipsoids with aspect ratios 22 and 1/21/2, respectively, as function of occupied volume fraction. Volume fraction was varied by changing particle volumes at fixed particle aspect ratio. Anisotropy at large volume fractions is apparent both in the cell shape, and in the orientational distribution function. Four scenarios have been observed: prolate or oblate particles in prolate or oblate cells. If the particle and cell shape are similar, then S2>0S_{2}>0. If the particle and cell shapes are dissimilar, then S2<0S_{2}<0.

For the prolate ellipsoid with ηparticle=2\eta_{particle}=2, the system is dilute with ϕ<ϕcp\phi<\phi_{cp}, the whole orientation state space is accessible, the cubic cell with ηcell=1\eta_{cell}=1 is the only minimiser of FF, and the orientational order parameter S2=0S_{2}=0, the system is isotropic. At ϕ=ϕcp\phi=\phi_{cp}, the isotropic state loses its stability and two orientationally ordered solutions bifurcate from the isotropic branch. The prolate branch with S2>1,ηcell>1S_{2}>1,\eta_{cell}>1 has lower energy and pressure than those of the oblate branch with S2<0,ηcell>1S_{2}<0,\eta_{cell}>1 for ϕ>ϕcp\phi>\phi_{cp}.

For the oblate ellipsoid with ηparticle=0.5\eta_{particle}=0.5, although the bifurcation is at ϕc\phi_{c}, orientational order can be observed both below and above ϕc\phi_{c}. In fact, there are two first order transitions from isotropic to both prolate nematic phase and oblate nematic phase at two different volume fractions slightly below ϕc\phi_{c}. The prolate branch with S2>0,ηcell<1S_{2}>0,\eta_{cell}<1 possesses lower energy and pressure than those of the oblate branch with S2>0,ηcell>1S_{2}>0,\eta_{cell}>1.

For sufficiently large volume fractions, certain orientations are disallowed by the shape of the cell, and the orientational distribution function has nontrivial compact support. This is indicated in Fig. 3(b-e), where representative equilibrium orientational probability density functions for a prolate ellipsoid with ηparticle=2\eta_{particle}=2 in equilibrium prolate ηcell>1\eta_{cell}>1 (Figs. 3(b) and (c)) and oblate ηcell<1\eta_{cell}<1 (Figs. 3(d) and (e)) cells are shown. One can readily see that the distribution function lacks axial symmetry, even in the very dilute limit where S2=0S_{2}=0, as shown in Fig. 3(a). This is because an uniaxial ellipsoid has more free volume when it aligns along the diagonals of a rectangular cell compared to other orientations.

As the volume fraction is increased, a topological transition takes place: the connected accessible orientational space becomes disconnected forming a number of disconnected regions, where the orientation of the ellipsoid is locked in a small region, as can be observed in going from Figs. 3(b) to (c) and from (d) to (e). These topological changes also manifest themselves as kinks on the bifurcation diagrams as in Fig. 2 and Fig. 4, although the topological change on the prolate branch is not as apparent as the one on the oblate branch.

Since the orientational distribution function is known, in addition to S2S_{2}, higher moments Sn=𝒫n(𝐦^𝐞^)S_{n}=\langle\mathcal{P}_{n}(\mathbf{\hat{m}\cdot\hat{e}})\rangle can be readily calculated. Here 𝒫n\mathcal{P}_{n} is the Legendre polynomial of degree nn. Although in the isotropic phase S2=0S_{2}=0, interestingly, higher moments may exist as nonzero functions of the occupied volume fraction ϕ\phi, as shown in Fig. 4(b). Given the edges and corners of the box, it is not surprising that the distribution function has higher moments which are nonzero at all volume fractions.

The free volume of an arbitrarily shaped particle in a rectangular cell can be calculated using a support function based approach, where the support function plays the role of the function hh in Eq. (22). We also remark that as long as the cell is convex, the free volume for a concave particle will be identical to that of its convex hull. Applying the support function approach to extend our model to particles with more complex shapes has already been initiated by one of us (JMT).

We realize that cell shapes other than rectangular boxes may allow more free volume to ellipsoidal particles; we expect that to every particle shape there corresponds an optimal cavity shape with the lowest free energy in equilibrium. The rectangular box is just our first attempt; an ellipsoidal cell is considered in Section 3.3.

3.2 Molecular dynamics

Molecular dynamics (MD) is a useful tool for studying properties of systems of interacting particles. MD simulations keep track of the motion of individual particles relying on classical mechanics. The results of MD simulations can be used to test the validity of statistical mechanical models. Here, we perform MD simulations of a hard rigid ellipsoidal particle moving in a rectangular cell, undergoing collisions with the cell walls. We imagine that this approximates the real physical situation where thermally excited molecules collide with nearest neighbors. As we show in this subsection, MD gives the same predictions for the equilibrium shape of the cell, for the average orientation of the ellipsoid, and for the pressure as our statistical mechanical model.

The dynamics consists of free flights and collisions with cell walls. When the particle does not undergo a collision, the position of its center of mass is updated as

𝐫(ti+1)=𝐫(ti)+𝐯cmΔti.\mathbf{r(}t_{i+1})=\mathbf{r}(t_{i})+\mathbf{v}_{cm}\Delta t_{i}. (26)

However, the angular velocity of the particle changes in time even without external torque. The angular acceleration in an inertial reference frame is given by Euler’s equations for rigid body dynamics,

𝝎˙(ti)=𝐈1(𝝎×(𝐈𝝎)),\dot{\bm{\omega}}(t_{i})=\mathbf{-I}^{-1}\cdot(\bm{\omega}\times(\mathbf{I}\cdot\bm{\omega})), (27)

where 𝐈\mathbf{I} is the tensor of inertia of the ellipsoid, given by

𝐈=(25mb215m(a2+b2))𝐦^𝐦^+15m(a2+b2)𝕀,\mathbf{I}=(\frac{2}{5}mb^{2}-\frac{1}{5}m(a^{2}+b^{2}))\mathbf{\hat{m}\hat{m}}+\frac{1}{5}m(a^{2}+b^{2})\mathbb{I}\mathbf{,} (28)

where mm is its uniformly distributed mass. We then update the angular velocity and the orientation of the particle as follows,

𝝎(ti)\displaystyle\bm{\omega}(t_{i}) =\displaystyle= 𝝎(ti1)+𝝎˙Δti,\displaystyle\bm{\omega}(t_{i-1})+\bm{\dot{\omega}}\Delta t_{i}, (29)
𝐦^(ti+1)\displaystyle\mathbf{\hat{m}}(t_{i+1}) =\displaystyle= 𝐦^(ti)+𝝎(ti)×𝐦^(ti)Δti|𝐦^(ti)+𝝎(ti)×𝐦^(ti)Δti|,\displaystyle\frac{\mathbf{\hat{m}}(t_{i})+\bm{\omega}(t_{i})\times\mathbf{\hat{m}}(t_{i})\Delta t_{i}}{|\mathbf{\hat{m}}(t_{i})+\bm{\ \omega}(t_{i})\times\mathbf{\hat{m}}(t_{i})\Delta t_{i}|}, (30)

where we use the default value of Δti=103\Delta t_{i}=10^{-3}. If the updated configuration causes any part of the particle to leave the cell, we return to the previous step, and halve Δti\Delta t_{i}. The process is repeated until the new configuration of the particle is completely within the cell. When the time step size reaches a lower threshold (e.g., Δti=1014\Delta t_{i}=10^{-14}), collision with the wall occurs.

We assume that both the particle and cell walls are frictionless, thus the impulses are along the normals to the surfaces in contact. In a collision, the conservation of linear momentum, angular momentum and kinetic energy, gives the postcollision center of mass velocity 𝐯f\mathbf{v}_{f} and angular velocity 𝝎f\bm{\omega}_{f} by ([12])

𝐯f=𝐯iJm𝐍^,\mathbf{v}_{f}=\mathbf{v}_{i}-\frac{J}{m}\mathbf{\hat{N}}, (31)
𝝎f=𝝎iJ𝐈1(𝐩×𝐍^),\bm{\omega}_{f}=\bm{\omega}_{i}-J\mathbf{I}^{-1}\cdot(\mathbf{p\times\hat{N}}), (32)

where 𝐯i\mathbf{v}_{i} and 𝝎i\bm{\omega}_{i} are precollision velocity and angular velocity, 𝐍^\mathbf{\hat{N}} is the outward normal of the ellipsoid pointing towards the cell wall. The vector 𝐩\mathbf{p} is a body-fixed vector joining the center of mass of the ellipsoid to the point of contact with the cell wall at the instant of collision,

𝐩=𝐀1𝐍^𝐍^𝐀1𝐍^\mathbf{p}=\frac{\mathbf{A}^{-1}\cdot\mathbf{\hat{N}}}{\sqrt{\mathbf{\hat{N}}\cdot\mathbf{A}^{-1}\cdot\mathbf{\hat{N}}}} (33)

and the positive scalar JJ is the magnitude of the impulse transferred to the ellipsoid at the collision,

J=2(𝐯i+ωi×𝐩)𝐍^1/m𝐍^𝐩×𝐈1×𝐩𝐍^.J=2\frac{(\mathbf{\mathbf{v}}_{i}+\mathbf{\mathbf{\omega}}_{i}\times\mathbf{p)\cdot\hat{N}}}{1/m-\mathbf{\hat{N}}\cdot\mathbf{p}\times\mathbf{I}^{-1}\times\mathbf{p}\cdot\mathbf{\hat{N}}}. (34)

The pressure on each wall is the average impulse per area on the wall. If the pressure happens not to be isotropic, we then update the relevant length of the cell, denoted dld_{l}, according to

dldl+γPlPtPl,d_{l}\rightarrow d_{l}+\gamma\frac{P_{l}-P_{t}}{P_{l}}, (35)

where PlP_{l} and PtP_{t} represent the averaged pressures on two square walls and four rectangular walls, respectively, and γ=0.01\gamma=0.01 plays the role of compressibility. The updates for the other two dimensions are determined by maintaining constant volume and a uniaxial shape.

A very great deal of work has been done on simulations of systems of hard ellipsoids[13],[14],[15],[16]. Our system is different, however, due to the mean field aspect of our model, where only a single particle is present, enclosed by a cell representing the effects of the other particles. Confinement induced ordering of hard ellipsoids has also been studied between two hard walls [17] however our confinement is in 3D; furthermore the shape of the confining shape is adaptive.

The scalar order parameter is calculated according to Sn=𝒫n(𝐦^𝐞^)S_{n}=\langle\mathcal{P}_{n}(\mathbf{\hat{m}\cdot\hat{e}})\rangle where the average is over all instantaneous orientations of the symmetry axis 𝐦^\mathbf{\hat{m}} of the ellipsoid between collisions. All simulation results were averaged over 10310^{3} random initial conditions.

Figure 4 shows the agreement of the results of free volume calculation in Sect. 3.1 and MD simulations for an ellipsoid with aspect ratio 44. The transition from the isotropic phase to the prolate phase is continuous, whereas the transition from the isotropic phase to the oblate phase is discontinuous. This is different from the case of ηparticle=2\eta_{particle}=2 where both transitions are continuous.

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(a)
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(b)
Figure 4: Results for ellipsoids with aspect ratio ηparticle=4\eta_{particle}=4. (a) Pressure PP (left axes) and cell aspect ratio ηcell\eta_{cell} (right axis) vs. volume fraction ϕ\phi. (b) Scalar order parameters S2S_{2} (left axes) and S4S_{4} (right axes) vs. volume fraction ϕ\phi. Only locally stable phases are shown. Solid lines are prolate phase, and dashed lines are for oblate phase, and dotted lines for isotropic phase. The MD results are shown as discrete points with error bars.

3.3 Needle in an ellipsoidal cell

In this subsection, we consider a needle within an ellipsoidal cell. This geometry allows for an analytic free volume expression, and reveals a topology common to the case of very slender particles.

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(a)
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(b)
Figure 5: The undeformed spherical globule 𝒞0\mathcal{C}_{0} enclosing a rigid rod (a) and its ellipsoidal image 𝒞\mathcal{C} under affine deformation (b).

Consider 𝒞0\mathcal{C}_{0} to be a spherical cavity R\mathscr{B}_{R} of radius RR enclosing a rigid rod of length 2a2a (see Fig. 5(a)) and subject the sphere to a homogeneous, isochoric deformation 𝒇\bm{f} with gradient 𝐅\mathbf{F}, which, modulo a rotation, changes the sphere into the ellipsoid 𝒞\mathcal{C} depicted in Fig. 5(b).

Now, the unit vector 𝐦^\mathbf{\hat{m}} denotes the orientation of the rod, such that if the center of the rod is at the point 𝒚\bm{y}, its ends occupy the points 𝒚±=𝒚±a𝐦^\bm{y}_{\pm}=\bm{y}\pm a\mathbf{\hat{m}}, respectively. We want to determine the volume of the free region f(𝐦^)\mathscr{R}_{\mathrm{f}}(\mathbf{\hat{m}}) accessible to 𝒚\bm{y} within the ellipsoid 𝒞\mathcal{C}, for a given orientation 𝐦^\mathbf{\hat{m}} of the rod. Writing 𝒚±=𝐅𝒙±\bm{y}_{\pm}=\mathbf{F}\bm{x}_{\pm} and 𝒚=𝐅𝒙\bm{y}=\mathbf{F}\bm{x}, so that 𝒙±\bm{x}_{\pm} are the preimages of 𝒚±\bm{y}_{\pm}, and 𝒙\bm{x} the preimage of 𝒚\bm{y}, the region 𝒇1(f)\bm{f}^{-1}(\mathscr{R}_{\mathrm{f}}) comprises all points 𝒙\bm{x} such that

𝐅𝒙±a𝐦^=𝐅𝒙±for both𝒙±R,\mathbf{F}\bm{x}\pm a\mathbf{\hat{m}}=\mathbf{F}\bm{x}_{\pm}\quad\text{for both}\quad\bm{x}_{\pm}\in\mathscr{B}_{R}, (36)

from which, since 𝐅\mathbf{F} is invertible, we have that

𝒙±a𝐅1𝐦^=𝒙±,𝒙±R,\bm{x}\pm a\mathbf{F}^{-1}\mathbf{\hat{m}}=\bm{x}_{\pm},\quad\bm{x}_{\pm}\in\mathscr{B}_{R}, (37)

and so

𝒇1(f)={𝒙:|𝒙+a𝐅1𝐦^|R}{𝒙:|𝒙a𝐅1𝐦^|R}.\bm{f}^{-1}(\mathscr{R}_{\mathrm{f}})=\{\bm{x}:|\bm{x}+a\mathbf{F}^{-1}\mathbf{\hat{m}}|\leq R\}\cap\{\bm{x}:|\bm{x}-a\mathbf{F}^{-1}\mathbf{\hat{m}}|\leq R\}. (38)

Geometrically, this set is the region comprised of two spheres of radius RR whose centers are 2b2b apart, where

b:=a|𝐅1𝐦^|.b:=a|\mathbf{F}^{-1}\mathbf{\hat{m}}|. (39)

Since det𝐅=1\det\mathbf{F}=1, the free volume VfV_{\mathrm{f}} is the same as the volume of 𝒇1(f)\bm{f}^{-1}(\mathscr{R}_{\mathrm{f}}), that is, twice the volume of a spherical frustum of radius r:=R2b2r:=\sqrt{R^{2}-b^{2}} and height h:=Rbh:=R-b,

Vf=πh3(3r2+h2)=Vcell(132αβ+12α3β3),V_{\mathrm{f}}=\frac{\pi h}{3}(3r^{2}+h^{2})=V_{cell}\left(1-\frac{3}{2}\alpha\beta+\frac{1}{2}\alpha^{3}\beta^{3}\right), (40)

where VcellV_{cell} is the volume of R\mathscr{B}_{R} and we have set

α=aR1andbR=αβ1.\alpha=\frac{a}{R}\leq 1\quad\text{and}\quad\frac{b}{R}=\alpha\beta\leq 1. (41)

It readily follows from (38) and (40) that

β=𝐦^𝐁1𝐦^,\beta=\sqrt{\mathbf{\hat{m}}\cdot\mathbf{B}^{-1}\mathbf{\hat{m}}}, (42)

where 𝐁=𝐅𝐅𝖳\mathbf{B}=\mathbf{F}\mathbf{F}^{\mathsf{T}} is the left Cauchy-Green tensor, which in the frame (𝐞^1,𝐞^2,𝐞^3)(\mathbf{\hat{e}}_{1},\mathbf{\hat{e}}_{2},\mathbf{\hat{e}}_{3}) of the principal directions of stretching is represented as

𝐁=λ12𝐞^1𝐞^1+λ22𝐞^2𝐞^2+λ32𝐞^3𝐞^3,\mathbf{B}=\lambda_{1}^{2}\mathbf{\hat{e}}_{1}\mathbf{\hat{e}}_{1}+\lambda_{2}^{2}\mathbf{\hat{e}}_{2}\mathbf{\hat{e}}_{2}+\lambda_{3}^{2}\mathbf{\hat{e}}_{3}\mathbf{\hat{e}}_{3}, (43)

where λ1\lambda_{1}, λ2\lambda_{2}, and λ3\lambda_{3} are the principal stretches subject to λ1λ2λ3=1\lambda_{1}\lambda_{2}\lambda_{3}=1. Letting mim_{i} be the components of 𝐦^\mathbf{\hat{m}} in the frame (𝐞^1,𝐞^2,𝐞^3)(\mathbf{\hat{e}}_{1},\mathbf{\hat{e}}_{2},\mathbf{\hat{e}}_{3}), they can be written as

m1=sinθcosφ,m2=sinθsinφ,m3=cosθ,m_{1}=\sin\theta\cos\varphi,\quad m_{2}=\sin\theta\sin\varphi,\quad m_{3}=\cos\theta, (44)

for θ[0,π]\theta\in[0,\pi] and φ[0,2π]\varphi\in[0,2\pi]. By use of (44) and (43) in (42) , we arrive at

β=1λ12sin2θcos2φ+1λ22sin2θsin2φ+1λ32cos2θ.\beta=\sqrt{\frac{1}{\lambda_{1}^{2}}\sin^{2}\theta\cos^{2}\varphi+\frac{1}{\lambda_{2}^{2}}\sin^{2}\theta\sin^{2}\varphi+\frac{1}{\lambda_{3}^{2}}\cos^{2}\theta}. (45)

For simplicity, we shall assume that 𝐁\mathbf{B} has the uniaxial symmetry around 𝐞^3\hat{\mathbf{e}}_{3}, so that λ1=λ2=1/λ3\lambda_{1}=\lambda_{2}=1/\sqrt{\lambda_{3}} and β\beta reduces to

β=λsin2θ+1λ2cos2θ, with λ=λ3.\beta=\sqrt{{\lambda}\sin^{2}\theta+\frac{1}{\lambda^{2}}\cos^{2}\theta},\text{ with }\lambda=\lambda_{3}. (46)

With this choice, the ellipsoid is prolate along 𝐞^3\hat{\mathbf{e}}_{3} if λ>1\lambda>1 and oblate if λ<1\lambda<1.

For given λ\lambda, the domain IλI_{\lambda} of admissible values of θ\theta is restricted by the second inequality in (41). A direct inspection shows that where

Iλ={[χ,πχ],0λα[0,π],αλ1α2[0,χ][πχ,π],λ1α2I_{\lambda}=\left\{\begin{array}[]{cc}[\chi,\pi-\chi],&0\leq\lambda\leq\alpha\\ [0,\pi],&\alpha\leq\lambda\leq\frac{1}{\alpha^{2}}\\ [0,\chi]\cup[\pi-\chi,\pi],&\lambda\geq\frac{1}{\alpha^{2}}\end{array}\right. (47)

where

χ=arccos(λα1λα21λ3).\chi=\arccos\left(\frac{\lambda}{\alpha}\sqrt{\frac{1-\lambda\alpha^{2}}{1-\lambda^{3}}}\right). (48)

The free energy of the rod (in units kTkT) is then given by

F(α,λ)=ln(πIλ(23αβ+α3β3)sinθdθ)+ln[2π(α1)2(α+2)],F(\alpha,\lambda)=-\ln\left(\pi\int_{I_{\lambda}}(2-3\alpha\beta+\alpha^{3}\beta^{3})\sin\theta d\theta\right)+\ln[2\pi(\alpha-1)^{2}(\alpha+2)], (49)

where the added constant has been gauged so as to ensure that F(α,1)=0F(\alpha,1)=0. The integral in (49) can be expressed in terms of elementary functions, not given explicitly here in the interest of space. Plots of FF as function of λ\lambda are shown in Fig. 6 for several values of α\alpha.

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(a) α=αc(1)=˙0.737\alpha=\alpha_{c}^{(1)}\dot{=}0.737
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(b) α=αt=˙0.757\alpha=\alpha_{t}\dot{=}0.757
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(c) α=αc(2)=˙0.805\alpha=\alpha_{c}^{(2)}\dot{=}0.805
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(d) α=2/3=˙0.816\alpha=\sqrt{2/3}\dot{=}0.816
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(e) α=αc(3)=˙0.826\alpha=\alpha_{c}^{(3)}\dot{=}0.826
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(f) α=0.850\alpha=0.850
Figure 6: The dimensionless free energy ff as in (49) plotted against λ\lambda for different values of α\alpha.

For α<αc(1)0.737\alpha<\alpha_{\mathrm{c}}^{(1)}\doteq 0.737, FF has a single critical point at λ=1\lambda=1, its absolute minimum representing the isotropic state where the spherical globule remains undeformed. For α>αc(1)\alpha>\alpha_{\mathrm{c}}^{(1)}, a local minimum and a local maximum develop in the oblate branch (where λ<1\lambda<1), while the isotropic state remains the absolute minimum, until α\alpha reaches the transition value αt0.757\alpha_{\mathrm{t}}\doteq 0.757, where both the isotropic state and the oblate minimum have the same energy. A first-order transition takes place at α=αt\alpha=\alpha_{\mathrm{t}}, with the oblate minimum at λ0.518\lambda\doteq 0.518. At α=αc(2)=˙0.805\alpha=\alpha_{c}^{(2)}\dot{=}0.805, an inflection point develops on the prolate branch, from which a local maximum and a local minimum emanate, the former approaching the equilibrium isotropic state at λ=1\lambda=1. At α=230.816\alpha=\sqrt{\frac{2}{3}}\doteq 0.816, the isotropic state becomes unstable and two branches emanate from it, a local prolate minimum and a local oblate maximum: the former connects with the prolate maximum at α=αc(3)=˙0.826\alpha=\alpha_{c}^{(3)}\dot{=}0.826, while the latter connects with the oblate minimum at α=αc(1)\alpha=\alpha_{c}^{(1)}. The locally stable prolate branch converges to λ2.627\lambda\doteq 2.627 as α1\alpha\rightarrow 1, whereas the globally stable oblate branch converges to λ=˙0.254\lambda\dot{=}0.254 as α1\alpha\to 1.

Figure 7 summarizes the above results, which are also compared with the bifurcation diagrams for a needle in a rectangular cell. We note that the topologies are mildly distinct. Whilst the oblate branch has a similar topology in each case, two unstable branches, one prolate and one oblate, bifurcate from the isotropic state at the critical value α=1\alpha=1 in the cuboidal case, with the former being a very small region that is difficult to see in the figure.

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(a)
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(b)
Figure 7: Bifurcation diagrams. (a) Needle in an ellipsoid cell. (b) Needle in a rectangular cell. In the former case α=2a/3Vcell/(4π)3\alpha=2a/\sqrt[3]{3V_{cell}/(4\pi)}, while in the latter α=2a/Vcell3\alpha=2a/\sqrt[3]{V_{cell}}. Solid red lines are local minima, dotted blue lines are local maxima. Red circles mark the transition from the isotropic state to the absolute oblate minimiser. Blue circles represent the critical points discussed in the text.

4 Work by shape change

Our mean field model gives some insights about the effects of shape change by individual molecules on their neighbors. A number of photomechanical materials consist of a nematic liquid crystal elastomer, containing a small fraction (2%\sim 2\%) of photoisomerizable azo dyes. These, in their ground state trans- configuration are elongated and in essence very similar to the liquid crystal molecules of the host. When illuminated, however, they undergo a trans-cis photoisomerization, and their shape changes from the elongated trans- form to the more compact – cis- form. Based on our model, we can estimate the free energy increase and stress on the host due to this shape change.

The aspect ratio of the trans- isomer is (roughly) known; we can also estimate the volume fraction. We know that in equilibrium the free energy is a minimum; so we minimize the free energy with respect to the cell aspect ratio. A possible starting configuration is shown in Fig. 8(a); the box shape is optimal for the given volume fraction ϕ=0.322\phi=0.322 and ellipsoid aspect ratio of 22; the sample is in equilibrium and the pressure on the box is isotropic. The sample is then illuminated with UV light, and there is photoisomerization where the dye molecule changes its shape from the elongated trans- to the more spherical cis- shape. As the ellipsoid suddenly becomes more spherical, the system loses equilibrium, the free energy dramatically increases and the pressure becomes anisotropic as shown in Fig. 8(b). This is the initial free energy for the photowork, shown in Fig. 8(b), together with pressure, which is now strongly anisotropic.

If allowed, the cell shape then changes to aspect ratio close to 11 to minimize the free energy for the new ellipsoid shape. The photomechanical work is carried out by the stress on the cell walls. The free energy corresponding to box aspect ratio 11 is the final energy of the system after the photowork. The free energy difference between the initial and final states is the energy available for photowork.

In an isotropic medium, dissolved azo dyes behave like standard two-level systems, governed by a nearly constant potential energy difference between the tran- and cis- states. In a liquid crystal host, however, potential energy of each isomer111internal energy plus the work required to insert the isomer into the standard cell in the system would sensitively depend on the anisotropy of the cell. One would expect therefore that the temperature dependence of isomer populations in liquid crystals to significantly differ from that of a simple two-level system.

Energy for the photoexcitation comes from the absorbed photon; what is not used in increasing the free energy is released as heat. Matching the free energy increase to the absorbed photon energy may be a viable strategy to increase the efficiency of photomechanical materials.

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(a)
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(b)
Figure 8: The particle shape change (decrease in aspect ratio ηparticle\eta_{particle}) at ϕ=0.322\phi=0.322 causes a large (\sim factor of 2) increase in the free energy FF, and a large increase (\sim factor of 10) in the pressure perpendicular to the symmetry axis.

5 Conclusion

In this work, we have considered a mean field model of NN indistinguishable particles with hard core steric interactions in a volume VV at temperature TT. The region is divided into NN identical cells, each with one particle in each cell. Each cell has a volume V/NV/N. At nonzero temperatures, the particles undergo collisions with the cell walls which approximate the effects of neighboring particles. In equilibrium, satisfying self-consistency, the cell adopts a shape which minimizes the free energy, and leads to an isotropic pressure tensor.

We have applied this mean field cell model to the case of hard uniaxial ellipsoids in rectangular and ellipsoidal cells.

At low occupied volume fractions, the shortest dimension of the cell is longer than the longest dimension of the particles. Hence all orientations of the particles are possible in the cells; here the particles are orientationally disordered, and the orientational order parameter - the second moment of the orientational distribution - is zero. As the occupied volume fraction increases, there is a critical volume fraction where the shortest dimension of the cell is equal to the longest dimension of the particles. Above this critical volume fraction, the orientational distribution function has compact support; there is a bifurcation and the system becomes orientationally ordered. One of the orientationally ordered solutions is prolate, while the other is oblate; the stability is determined by the shape of the cell. The results of mean-field theory are fully compatible with the the results of molecular dynamics simulations.

The above results give insights towards understanding the shape change exhibited by photomechanical materials. In such azo-dye doped liquid crystal elastomer materials, illumination causes photoisomerization of the dye. Due to the shape change, the system loses equilibrium, the free energy increases and anistoropic stress appears in the cell, which changes the shape of the cell and of the bulk host, and can do mechanical work. Energy for the work comes from the absorbed light. The model not only describes the mechanism whereby particle shape change results in local increased free energy and anisotropic internal stress, but allows quantitative estimates of these.

This paper has reported our first attempts to implement a simple mean field theory for rod-like hard particles. Work to extend and improve the model is clearly needed. Allowing the confined particles to respond to the anisotropic internal pressures acting on them seems promising; as does consideration of cell and particle shapes more general than those considered here. Efforts in these directions are under way.

Acknowledgements

P.P-M. acknowledges support from the Office of Naval Research through the MURI on Photomechanical Material Systems (ONR N00014-18-1-2624).

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