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Unified Treatment for Scattering and Photoluminescence Properties of Strongly Coupled Metallic Nanoparticle Chains based on a Coupling Classic Harmonic Oscillator Model

Yuqing Cheng School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China    Mengtao Sun School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China Collaborative Innovation Center of Light Manipulations and Applications, Shandong Normal University, Jinan, 250358, China
Abstract

We present a multimer coupling classic harmonic oscillator model to reveal the scattering and photoluminescence (PL) properties of metallic nanoparticle chains. Taking particle number from 1 to 6 as examples, we compare the calculated spectra with the experimental ones from other researchers’ work, and they agree well with each other. Furthermore, scattering and PL properties are analyzed carefully varying with particle number nn, coupling strength gg and effective free electron number NN. Results indicates larger red-shift and smaller full width at half maximum (FWHM) of the scattering spectra with larger nn or/and larger gg. Meanwhile, the splitting of PL modes increases as gg increases, and the amplitudes are dependent on the excitation wavelength. This classic model is simple and shows a unified treatment for understanding the scattering and PL properties of multimer coupled systems.

preprint: AIP/123-QED

Growing interest in coupled systems, especially strongly coupled metallic nanostructures, has been realized by numerous investigators, because the ability and potential of them in optical devices makes it possible to tune the electric field at subwavelength scale. Particularly, localized surface plasmon resonance (LSPR) of metallic nanostructures, e.g., gold nanorods and nanospheres etc., are widely investigated. Due to the amazing optical properties of LSPR, e.g., strongly enhancement and highly confinement of electric field, it has been applied in numerous technological applications such as biosensing Lu et al. (2012); Zhang et al. (2018); Wu et al. (2018); Qiu, Ng, and Wu (2018), optical recording Zijlstra, Chon, and Gu (2009); Taylor, Kim, and Chon (2012), optical waveguiding Catalano et al. (2018); Diez et al. (2018); Ebrahimpouri et al. (2018), nonlinear optics Mi et al. (2019); Wurtz et al. (2011); Kauranen and Zayats (2012), and nano-optical devices Bhuyan et al. (2018); Atabaki et al. (2018); Cheben et al. (2018).

Multiple nanoparticles including dimers result in new LSPR properties when they are strongly coupled with each other, compared with individual nanoparticle. This phenomenon has been widely investigated both experimentally and theoretically by researchers. S. Biswas etalet\ al. employ self-assembled gold nanorod heterodimers to achieve plasmon-induced optical transparency (PIT) uniquely in the visible wavelengths with a slowdown factor of 10 and extreme dispersion Biswas et al. (2013). L.-J. Black etalet\ al. tune the polarization conversion of coupled gold nanorod dimer by controlling the gap width. They conclude that much higher conversion efficiencies may be obtained in “kissing” antennas Black et al. (2014). C.-Y. Tsai etalet\ al. investigate the optical properties of gold nanoring dimers and find that LSPR peak of them strongly depends on the polarization direction and gap distance, i.e., longitudinal and transverse polarizations result in the red-shift and blue-shift, respectively, when the nanorings approach each other Tsai et al. (2012). P. Mulvaney etalet\ al. investigate the scattering properties of linear chains of strongly coupled gold nanoparticles with particle number from 1 to 6 by employing self-assembly techniques. They obtain the red-shift of LSPR peak when particle number increases and conclude that a maximum resonance wavelength should be at a chain length of 10–12 particles Barrow et al. (2011). A. M. Soehartono etalet\ al. employ tall nanosquare dimer for biosensing applications, where the resonance mode and hybrid modes are investigated and the longitudinal mode is found to be red-shifts when increasing the height Soehartono et al. (2020). L. S. Slaughter etalet\ al. investigate LSPR properties of symmetry breaking gold nanorod dimers with different configurations. They find that symmetry breaking has the strongest effect on the collective plasmon modes Slaughter et al. (2010). S. Yoo etalet\ al. report the novel strategy for the synthesis of complex 3-dimensional (3D) nanostructures and apply them to surface enhanced Raman scattering (SERS). The coupling phenomenon is illustrated to be directly related to the intrananogap and interior volume size Yoo et al. (2020). All these obtained coupling phenomena have pointed to the fact that strong coupling indicates large splitting of LSPR peak. Explanations based on simulations and models have been done by these researchers. Particularly, the the models usually provides coupled LSPR peak positions. However, the spectra shapes of these coupled systems are seldom estimated in theory. In a previous work, we investigate the spectra of metallic nanoparticles with individual mode without any coupling Cheng et al. (2018). In another previous work, we only consider the dimer case for the coupled system. Multi-particle coupled system was not realized due to its complexity Cheng and Sun .

In this study, we investigate a metallic multi-particle system which is arranged as a linear chain. We develop a coupling classic harmonic oscillator model for multi-particle to study the optical properties. Taking 1 to 6 particles as examples, we carefully analyze the scattering and PL properties varying with particle number nn, coupling strength gg and effective free electron number NN. The theoretical results illustrate that, for scattering spectra, LSPR peak red-shifts and full width at half maximum (FWHM) decreases as nn or/and gg increases; for PL spectra, the splitting of the modes gets larger with larger gg, and the amplitudes are dependent on the excitation wavelength. Comparisons between our model and experimental data from Mulvaney’s work Barrow et al. (2011) demonstrate that our model is practical and accuracy. This work would give rise to understanding complex coupling phenomena more deeply.

An individual metallic nanostructure with single mode can be treated as an oscillator with its intrinsic frequency ω0\omega_{0} and damping coefficient β0\beta_{0}, the behavior of which has been discussed in our previous work Cheng et al. (2018). When it comes to two coupled nanostructures (assume these two are the same), the coupling coefficients between them can be evaluated as Cheng and Sun :

g2=1κ(cr0)3,γ=1κ(cr0)2,g^{2}=\frac{1}{\kappa}(\frac{c}{r_{0}})^{3},\ \ \gamma=\frac{1}{\kappa}(\frac{c}{r_{0}})^{2}, (1)

where 1κ=Ne22πε0mec3\frac{1}{\kappa}=\frac{Ne^{2}}{2\pi\varepsilon_{0}m_{e}c^{3}}. Here NN is the effective number of free electrons of each oscillator, mem_{e} is the mass of electron, r0r_{0} is the distance between the coupled oscillators, ε0\varepsilon_{0} is the permittivity of vacuum, and cc is the velocity of light in vacuum.

Refer to caption
Figure 1: Schematic of the coupling classic harmonic oscillator model, which is constituted by nn oscillators arranged along xx-axis. Each ellipse stands for an individual oscillator that oscillates along xx-axis. The xx-polarized excitation light with amplitude E0E_{0} and frequency ωex\omega_{ex} illuminates the system.

Now we consider a metallic nanostructure chain consisted by nn nanoparticles arranged in a line. The schematic is shown in Fig. 1. The xx-polarized incident light excites the system with frequency ωex\omega_{ex} and amplitude E0E_{0}. Due to the fact that the coupling strength gg decreases rapidly with the increase of r0r_{0}, we only consider the interaction between the neighboring particles. For the simplest case, we assume that all the particles are the same. Therefore, the dynamical equations of these oscillators should be in this form:

x¨1+2β0x˙1+ω02x1γx˙2g2x2=K0exp(iωext),\displaystyle\ddot{x}_{1}+2\beta_{0}\dot{x}_{1}+\omega_{0}^{2}x_{1}-\gamma\dot{x}_{2}-g^{2}x_{2}=K_{0}\mathrm{exp}(-\mathrm{i}\omega_{ex}t), (2)
\displaystyle......
x¨j+2β0x˙j+ω02xj\displaystyle\ddot{x}_{j}+2\beta_{0}\dot{x}_{j}+\omega_{0}^{2}x_{j}
γx˙j1g2xj1γx˙j+1g2xj+1=K0exp(iωext),\displaystyle-\gamma\dot{x}_{j-1}-g^{2}x_{j-1}-\gamma\dot{x}_{j+1}-g^{2}x_{j+1}=K_{0}\mathrm{exp}(-\mathrm{i}\omega_{ex}t),
(for 2jn1)\displaystyle(\mathrm{for}\ 2\leq j\leq n-1)
\displaystyle......
x¨n+2β0x˙n+ω02xn1γx˙n1g2xn1=K0exp(iωext).\displaystyle\ddot{x}_{n}+2\beta_{0}\dot{x}_{n}+\omega_{0}^{2}x_{n-1}-\gamma\dot{x}_{n-1}-g^{2}x_{n-1}=K_{0}\mathrm{exp}(-\mathrm{i}\omega_{ex}t).

Here, xj(t)x_{j}(t), x˙j(t)\dot{x}_{j}(t) and x¨j(t)\ddot{x}_{j}(t) are the displacement relative to equilibrium position, velocity and acceleration of jj-th oscillator, respectively, K0=eE0/meK_{0}=-eE_{0}/m_{e}, and ee is the charge of electron.

Firstly, we deal with the scattering properties. Assume that xj(t)=Ajexp(αt)x_{j}(t)=A_{j}\mathrm{exp}(\alpha t) (j=1, 2,,nj=1,\ 2,\ ...,\ n) are the solutions of Eq. (2). Define B=γαg2B=-\gamma\alpha-g^{2}, C=α2+2β0α+ω02C=\alpha^{2}+2\beta_{0}\alpha+\omega_{0}^{2}, and

D=(CBBCBBCCBBCBBC)n×n,D=\begin{pmatrix}C&B&&&&&\\ B&C&B&&&&\\ &B&C&&&&\\ &&&\ddots&&&\\ &&&&C&B\\ &&&&B&C&B\\ &&&&&B&C\end{pmatrix}_{n\times n}, (3)

where Dj1j2=CD_{j_{1}j_{2}}=C for j1=j2j_{1}=j_{2}, Dj1j2=BD_{j_{1}j_{2}}=B for |j1j2|=1|j_{1}-j_{2}|=1, and Dj1j2=0D_{j_{1}j_{2}}=0 for other cases. Also define:

X=(A1,,Aj,,An)T,\displaystyle X=(A_{1},\ ...,\ A_{j},\ ...,\ A_{n})^{T}, (4)
K=K0(1,, 1,, 1)T.\displaystyle K=K_{0}(1,\ ...,\ 1,\ ...,\ 1)^{T}.

After substituting xj(t)x_{j}(t) into Eq. (2), the amplitudes should satisfy the following equation:

DX=K,DX=K, (5)

where the solution of α\alpha is α=iωex\alpha=-\mathrm{i}\omega_{ex}. The solutions of the amplitudes are:

X=D1K,X=D^{-1}K, (6)

where D1D^{-1} is the inverse of matrix DD. The total far field emission of the electric field is proportional to the accelerations of the oscillators Griffiths (2013); Cheng et al. (2018); Cheng and Sun :

x¨(t)=j=1nx¨j(t)\displaystyle\ddot{x}(t)=\sum_{j=1}^{n}\ddot{x}_{j}(t) =(iωex)2(j=1nAj)exp(iωext)\displaystyle=(-\mathrm{i}\omega_{ex})^{2}\left(\sum_{j=1}^{n}A_{j}\right)\mathrm{exp}({-\mathrm{i}\omega_{ex}t}) (7)
=ωex2A(n)exp(iωext).\displaystyle=-\omega_{ex}^{2}A^{(n)}\ \mathrm{exp}({-\mathrm{i}\omega_{ex}t}).

Actually, A(n)A^{(n)} satisfy:

A(n)=j=1nAj=j=1nXj=K0j1=1nj2=1nDj1j21.A^{(n)}=\sum_{j=1}^{n}A_{j}=\sum_{j=1}^{n}X_{j}=K_{0}\sum_{j_{1}=1}^{n}\sum_{j_{2}=1}^{n}D_{j_{1}j_{2}}^{-1}\ . (8)

We give out the solutions of the amplitudes A(n)A^{(n)} for n=16n=1-\-6 as examples:

A(1)=1CK0,A(2)=2B+CK0,\displaystyle A^{(1)}=\frac{1}{C}K_{0},\ \ \ \ \ \ \ \ \ \ \ \ A^{(2)}=\frac{2}{B+C}K_{0}, (9)
A(3)=4B3C2B2C2K0,A(4)=2(B2C)B2BCC2K0,\displaystyle A^{(3)}=\frac{4B-3C}{2B^{2}-C^{2}}K_{0},\ \ A^{(4)}=\frac{2(B-2C)}{B^{2}-BC-C^{2}}K_{0},
A(5)=B2+8BC5C23B2CC3K0,\displaystyle A^{(5)}=\frac{B^{2}+8BC-5C^{2}}{3B^{2}C-C^{3}}K_{0},
A(6)=2(2B2+2BC3C2)B3+2B2CBC2C3K0.\displaystyle A^{(6)}=\frac{2(2B^{2}+2BC-3C^{2})}{B^{3}+2B^{2}C-BC^{2}-C^{3}}K_{0}\ .

Define A(n)=ωex2A(n)A^{{}^{\prime}(n)}=-\omega_{ex}^{2}A^{(n)}, and employ the Fourier transform in Ref. [ Cheng et al. (2018); Cheng and Sun ], thus obtaining the elastic emission spectrum:

Iela(ω)=|A(n)|22πδ(ωωex).I_{ela}(\omega)=\left|A^{{}^{\prime}(n)}\right|^{2}\sqrt{2\pi}\delta(\omega-\omega_{ex}). (10)

Therefore, the white light scattering spectra should be given as:

Isca(ω)=Iela(ωexω)=2π|A(n)(ωexω)|2.I_{sca}(\omega)=I_{ela}(\omega_{ex}\to\omega)=\sqrt{2\pi}\left|A^{{}^{\prime}(n)}(\omega_{ex}\to\omega)\right|^{2}. (11)

Secondly, we deal with the PL properties. As our previous work demonstrates Cheng et al. (2018), PL term origins from the general solutions of the homogeneous linear equations:

DX=0.DX=0. (12)

The necessary and sufficient conditions for the existence of nontrivial solutions of Eq. (12) is that the determinant of DD is zero:

det(D)=z+n+1zn+1z+z=0,\mathrm{det}(D)=\frac{z_{+}^{n+1}-z_{-}^{n+1}}{z_{+}-z_{-}}=0, (13)

where z±=12(C±C24B2)z_{\pm}=\frac{1}{2}(C\pm\sqrt{C^{2}-4B^{2}}). Eq. (13) determines the solutions of α\alpha. Obviously, there are 2n2n solutions for Eq. (13). We can rewrite the solutions as αk±=βk±iωk\alpha_{k\pm}=-\beta_{k}\pm\mathrm{i}\omega_{k}, k=1, 2,,nk=1,\ 2,\ ...,\ n. Due to the large difference from the excitation frequency, we omit the solutions of “αk+\alpha_{k+}” as our previous work does Cheng et al. (2018); Cheng and Sun . Therefore, the total solutions for Eq. (2) can be assumed and solved by:

xj(t)=Sjexp(iωext)+k=1nPjkexp(αkt),\displaystyle x_{j}(t)=S_{j}\mathrm{exp}(-\mathrm{i}\omega_{ex}t)+\sum_{k=1}^{n}P_{jk}\mathrm{exp}(\alpha_{k-}t), (14)
initialconditions:\displaystyle\mathrm{initial\ conditions:}
xj(0)=0,x˙j(0)=0,x¨j(0)=K0,,dnxj(0)dtn,\displaystyle x_{j}(0)=0,\ \dot{x}_{j}(0)=0,\ \ddot{x}_{j}(0)=K_{0},\ ...,\ \frac{\mathrm{d}^{n}x_{j}(0)}{\mathrm{d}t^{n}},
forj=1, 2,,n.\displaystyle\mathrm{for}\ j=1,\ 2,\ ...,\ n.

Here, SjS_{j} is the amplitude of the elastic term (scattering) of the jj-th oscillator; PjkP_{jk} is the amplitude of the kk-th inelastic term (PL) of the jj-th oscillator. After considering the PL term for the solutions, the total far field emission of the electric field can be written as:

x¨(t)=j=1nx¨j(t)=\displaystyle\ddot{x}(t)=\sum_{j=1}^{n}\ddot{x}_{j}(t)= (iωex)2j=1nSjexp(iωext)\displaystyle(-\mathrm{i}\omega_{ex})^{2}\sum_{j=1}^{n}S_{j}\mathrm{exp}(-\mathrm{i}\omega_{ex}t) (15)
+\displaystyle+ j=1nk=1nαk2Pjkexp(αkt).\displaystyle\sum_{j=1}^{n}\sum_{k=1}^{n}\alpha_{k-}^{2}P_{jk}\mathrm{exp}(\alpha_{k-}t).

Define Pk=j=1nαk2PjkP_{k}^{\prime}=\sum_{j=1}^{n}\alpha_{k-}^{2}P_{jk}, employing Fourier transform and Fermi-Dirac distribution Cheng et al. (2018); Cheng and Sun , the total PL spectrum of the system can be written as:

IPL(ω)=\displaystyle I_{PL}(\omega)= k=1n|Pk|21exp(2βkt0)2βkt0βk(ωωk)2+βk2\displaystyle\sum_{k=1}^{n}\left|P_{k}^{\prime}\right|^{2}\frac{1-\mathrm{exp}(-2\beta_{k}t_{0})}{2\beta_{k}t_{0}}\frac{\beta_{k}}{(\omega-\omega_{k})^{2}+\beta_{k}^{2}} (16)
×11+exp[(ωωf)/kBT].\displaystyle\times\frac{1}{1+\mathrm{exp}[(\hbar\omega-\hbar\omega_{f})/k_{B}T]}.

Here, t0t_{0} is the effective interaction time between the excitation light and the oscillators, \hbar is the reduced Planck constant, ωf\omega_{f} is the so-called chemical potential and kBk_{B} is Boltzmann’s constant, and TT is the temperature.

For n=1n=1, the solution degenerates into the one of an individual particle, which has been discussed in Ref. [ Cheng et al. (2018) ]. For n=2n=2, the solutions degenerate into the dimer case, which has been discussed in Ref. [ Cheng and Sun ].

Based on these formulas, we could analyze in detail to understand the scattering and PL properties more deeply. In the following statements, unit “eV” and unit “Hz” for gg satisfy the following relationship:

g[eV]=eg[Hz].g[\mathrm{eV}]=\frac{\hbar}{e}g[\mathrm{Hz}]. (17)

So do β\beta, ω\omega and γ\gamma.

First of all, scattering properties are analyzed.

Fig. 2a-c show the normalized scattering spectra of the chains with different particle number nn varying with effective free electrons number NN. The coupling strength is g=1.3g=1.3 eV. The primary LSPR peak red-shifts as nn increases. When n3n\geq 3, there exist other peaks at blue side of the primary peaks with small amplitudes for each case. Fig. 2d shows the LSPR peak positions as a function of NN for different cases. It indicates that for small nn, the peaks almost stay unchanged as the increase of NN. However, for large nn, the peak decrease at about N=106N=10^{6}. Notice that in Fig. 2, we keep gg unchanged, and Eq. (1) can be rewritten as γ3=g4/κ\gamma^{3}=g^{4}/\kappa. When NN is small, γ\gamma is much less then gg, thus influencing the interaction parts little. However, when NN increases, κ\kappa decreases, resulting in the increase of γ\gamma, which influences the interaction parts greatly if γ\gamma is comparable with or even larger than gg. Hence, the peak positions are influenced by NN. Fig. 2e shows FWHM of different cases as a function of NN. For n2n\geq 2, FWHM decreases first and then increases as NN increases. The minimums of FWHM occur at about N=105N=10^{5}, resulting in narrow shapes of the spectra as shown in Fig. 2c.

Refer to caption
Figure 2: (a)(b)(c) Normalized scattering spectra of the nanoparticle chains varying with effective free electron number NN, i.e., N=102N=10^{2}, N=104N=10^{4} and N=105N=10^{5}, respectively, calculated from Eq. (11). (d) LSPR peak position of the chains as a function of NN. (e) FWHM of the chains as a function of NN. The spectra and curves are numerically labeled according to particle number nn except for (e). Black, red, blue, green, cyan and purple stand for nn equaling from 1 to 6, respectively. Here, the coupling strength is kept as g=1.300g=1.300 eV.

Fig. 3a-b show the normalized scattering spectra of the chains with different nn varying with coupling strength gg. Here, N=1.5×104N=1.5\times 10^{4}. The same as Fig. 2a-c, the primary LSPR peak red-shifts as nn increases. Obviously, the red-shift of g=1.3g=1.3 eV is larger than the one of g=1.0g=1.0 eV. In Fig. 3c, LSPR wavelength increases as nn increases (red-shift), and it also increases as gg increases (red-shift). That is, the larger gg or/and nn is, the larger red-shift is. In Fig. 3d, FWHM decreases as nn increases, and it also decreases as gg increases, resulting in narrower shapes of the spectra with larger gg or/and nn in unit of “eV”.

Refer to caption
Figure 3: (a)(b) Normalized scattering spectra of the nanoparticle chains varying with coupling strength gg, i.e., g=1.0g=1.0 eV and g=1.3g=1.3 eV, respectively, calculated from Eq. (11). (c) LSPR peak position of the chains as a function of gg. (d) FWHM of the chains as a function of gg. The spectra and curves are numerically labeled according to particle number nn. Here, the effective free electron number is kept as N=1.5×104N=1.5\times 10^{4}.

In Fig. 4, we show the comparison between the scattering spectra of these chains calculated from this model and the experimental ones from P. Mulvaney etalet\ al.Barrow et al. (2011). Here, the intrinsic frequency ω0\omega_{0} and damping coefficient β0\beta_{0} of each identical nanoparticle are ω0=2.204\omega_{0}=2.204 eV and β0=0.156\beta_{0}=0.156 eV, resulting in the resonant wavelength at 560 nm of an individual nanoparticle. The coupling strength and effective free electrons number are g=1.317g=1.317 eV and N=1.5×104N=1.5\times 10^{4}. Fig. 4a shows the scattering spectra of these chains calculated from this model. As nn increases, the scattering intensity increases and meanwhile the peak red-shifts. The inset of Fig. 4a illustrates the peaks with small values (for n3n\geq 3). The intensities of these small peaks increase and they also red-shift as nn increases. In Fig. 4b, we compare the normalized scattering spectra of our model with the experiments of P. Mulvaney Barrow et al. (2011). In general, they agree well with each other. Notice that the FWHMs of n=2n=2 and n=6n=6 agree not very well. For n=2n=2, the dimer case, the FWHM of our model is smaller than the one of the experiment. For n=6n=6 the result reverses, and the peak of the model is a bit blue-shifted compared to the experiment. The main reason may be the nonuniformity of the samples. Of course, other reasons should be considered. For example, in our model, we omit the interaction parts of the non-neighboring particles, which indeed influences the spectra.

Refer to caption
Figure 4: (a) Scattering spectra of the nanoparticle chains calculated from Eq. (11). The inset of (a) is the zoom of the dashed box. (b) Normalized scattering spectra of the nanoparticle chains calculated from Eq. (11) (solid lines) and the experimental ones of P. Mulvaney Barrow et al. (2011) (dot lines). The spectra are numerically labeled according to particle number nn. Here, N=1.5×104N=1.5\times 10^{4}, ω0=2.204\omega_{0}=2.204 eV, β0=0.156\beta_{0}=0.156 eV and g=1.317g=1.317 eV.

The next, PL properties are analyzed.

The new generated PL modes are shown in Fig. 5, taking n=25n=2-\-5 as examples. For a given particle number nn, there are nn modes of PL. Particularly, when nn is even, the modes spit, half (n/2n/2) of which blue shift, called the blue branches, the other half (n/2n/2) of which red shift, called the red branches. When nn is odd, however, there exists one mode with frequency and damping unchanged and equaling to ω0\omega_{0} and β0\beta_{0}, respectively, and the rest modes split the same as even case. More special, Mode 1 and Mode 2 of n=2n=2 behave the same as Mode 2 and Mode 4 of n=5n=5. There exist cut-off coupling strengthes gcutg_{cut} for the red branches, at which the frequency decreases to zero. For Mode 1 of all the cases, gcutg_{cut} decreases as nn increases. Notice that in Eq. (16), the shape of each mode is a Lorentzian curve with FWHM 2βj2\beta_{j}. Hence, the increase (decrease) of βj\beta_{j} in Fig. 5 indicates the increase (decrease) of FWHM of Mode jj.

Refer to caption
Figure 5: The new generated resonant frequencies (ωj\omega_{j}) and damping coefficients (βj\beta_{j}) as a function of gg in the cases of n=2n=2 (a), n=3n=3 (b), n=4n=4 (c) and n=5n=5 (d), respectively, calculated from Eq. (13). The curves are numerically labeled according to Mode jj. Here, NN, ω0\omega_{0} and β0\beta_{0} are the same as the ones in Fig. 4.

In Fig. 6, PL spectra calculated from Eq. (16) are shown for two different excitation wavelengths, i.e., 532 nm and 633 nm. In Fig. 6a, it reveals the number of modes as 1, 2, 3, 4 and 3 for n=n=1, 2, 3, 4 and 5, respectively. There is only 3 modes in the spectrum of n=5n=5, because one mode’s wavelength is larger than 1000 nm so that it is not shown, the other mode’s wavelength is smaller than 532 nm so that Fermi-Dirac distribution makes it disappear. In Fig. 6b, due to the fact that some modes’ wavelengths are smaller than 633 nm, they disappear. The numbers of the modes illustrated here are 1, 2, 2, 3 and 3 for n=n= 1, 2, 3, 4 and 5, respectively. Notice that, for n=2n=2 and n=5n=5, there are two modes behaving similarly at around 624 nm and 811 nm, respectively. This phenomenon has been revealed in Fig. 5.

Refer to caption
Figure 6: Normalized PL spectra of nanoparticle chains calculated from Eq. (16), excited at 532 nm (a) and 633 nm (b), respectively. Black, red, blue, green and cyan stand for nn equaling from 1 to 5, respectively. Here, N=1.5×104N=1.5\times 10^{4}, g=0.9g=0.9 eV, ω0=1.774\omega_{0}=1.774 eV and β0=0.101\beta_{0}=0.101 eV.

Furthermore, we should emphasize that, in this work, the excitation electric field felt by these particles is treated as the same, i.e., the amplitudes and phases are the same. This approximation is reasonable when dealing with small nn, e.g., n6n\leq 6. In Mulvaney’s experiments Barrow et al. (2011), the diameter of one particle is 64 nm with gap of 1 nm, resulting in the length of the chain for n=6n=6 of about 390 nm (omitting the bend of the chain). For larger nn, the length of the chain would be so large that it is larger than the excitation wavelength. In experiments, usually, the light is focused through the lens and the size of the facula is near the excitation wavelength due to the diffraction limit. In other words, a large nn breaks the identity of the right side in Eq. (2), i.e., the electric field felt by the particles is not the same and it depends on the position of the facula. Therefore, if employing our model to calculate the scattering and PL spectra of a long chain, one just needs to rewrite Eq. (2) according to the situation, and then derives the rest equations as this work does.

In summary, we develop a multimer coupling classic harmonic oscillator model and employ it to explain the white light scattering and PL spectra of metallic nanoparticle chains which are strongly coupled. The model is suitable for n1n\geq 1, and we take n=16n=1-\-6 as examples in this work. Comparisons with experiments of Mulvaney’ work illustrate the accuracy and practicability of this model. Moreover, the scattering and PL properties are analyzed in detail, which depend on particle number nn, coupling strength gg and effective free electron number NN. For scattering spectra, larger nn or/and larger gg result in larger red-shift of LSPR peak and in smaller FWHM of the peak; small NN, e.g., N<105N<10^{5}, influences the spectra little, while large NN, e.g., N105N\geq 10^{5}, influences the spectra greatly. For PL spectra, the modes split due to the coupling and the splitting increases with the increase of gg. The amplitudes of these modes are dependent on the excitation wavelength. This classic model is practical and accurate when dealing with the coupling of metallic nanostructures. Thereby, this work would be helpful to understanding optical properties more deeply and gives a unified treatment for scattering and PL properties of strongly coupled multimer system. It also useful for related applications utilizing strongly coupled system of nanophotonics.

This work was supported by the Fundamental Research Funds for the Central Universities (Grant No. FRF-TP-20-075A1). Thanks to Professor Paul Mulvaney for the permission of using the data from his previous work.

The authors declare no conflicts of interest.

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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