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Self-Organization of Metal Nanoparticles in Light: Electrodynamics- Molecular Dynamics Simulations and Optical Binding Experiments Patrick McCormack, Fei Han, and Zijie Yan* Department of Chemical and Biomolecular Engineering, Clarkson University, Potsdam, New York 13699, United States * S Supporting Information ABSTRACT: Light-driven self-organization of metal nanoparticles (NPs) can lead to unique optical matter systems, yet simulation of such self-organization (i.e., optical binding) is a complex computational problem that increases nonlinearly with system size. Here we show that a combined electrodynamics-molecular dynamics simulation technique can simulate the trajectories and predict stable congurations of silver NPs in optical elds. The simulated dynamic equilibrium of a two-NP system matches the probability density of oscillations for two optically bound NPs obtained experimentally. The predicted stable congurations for up to eight NPs are further compared to experimental observations of silver NP clusters formed by optical binding in a Bessel beam. All congurations are conrmed to form in real systems, including pentagonal clusters with ve-fold symmetry. Our combined simulations and experiments have revealed a diverse optical matter system formed by anisotropic optical binding interactions, providing a new strategy to discover articial materials. N ovel electronic and photonic materials not only rely on the intrinsic properties of underlying constituents but also depend on the integration approach. 1,2 Light can induce self-organization of microscopic particles into mesoscale clusters by harnessing their interparticle electrodynamic interactions. 3,4 The particles scatter light and modify the incident eld, causing interactions between the particles. If the interactions are strong, e.g., in an intense laser eld, the particles can self-organize into specic congurations with well- dened interparticle separations. This optical phenomenon was rst observed by Burns, Fournier, and Golovchenko in 1989. 5 By trapping polystyrene microparticles on a glass surface using a line-shaped laser trap, they noticed that two trapped particles tended to maintain their separation at the integral multiples of the laser wavelength in the host medium, a behavior that they termed optical binding, 5 while the optically bound particles were termed optical matter. 6 Yet, since then, nearly of all the experimental reports on optical binding have been focused on dielectric microparticles 3,4 because the optical binding force depends on the scattering cross section, 3 which is usually too small for dielectric nanoparticles (NPs). Plasmonic metal NPs have stronger scattering and thus can show more signicant optical binding interactions. 7 Similar to molecular isomers with the same chemical formula but dierent atomic arrangements, metal NPs have shown the ability to self- organize into a great variety of photonic clusters (i.e., optical matter isomers) by optical binding. 7-10 However, accurately predicting the optical matter isomers is not a trivial task. Due to the nature of multibody and directional interactions, the complexity of optical binding increases nonlinearly with the number of particles involved. 3,11 In pioneering work, Ng et al. applied a multiple scattering technique to predict various geometric congurations of photonic clusters formed by dielectric microspheres. 12 Later we developed a coupled-dipole model for optical binding of multiple NPs. 8 The strong electrodynamic interactions between metal NPs suggest an analogy to molecular assembly and the formation of atomic clusters. 13-15 Therefore, inspired by the role of the potential energy surface (PES) in molecular science, we recently found that particular equilibrium congurations of optically bound NPs are governed by the electrodynamic PES and, more importantly, by the initial positions and pathways of the NPs accessing particular stationary points of the PES. 9 This electrodynamic PES method was eective in explaining the formation of certain optical matter clusters, but the scattering eld from additional NPs will aect the optical binding interactions between the existing NPs; therefore, their interparticle separation will change. In principle, the PES of optical matter is not static but dynamic; therefore, the PES for the dynamics of self-organization needs to be continually modi ed. Very recently, a combined electrodynamics- Langevin dynamics approach has been developed to understand optical binding of Ag NPs. 16 The reported results, however, were limited up to three NPs because it would take prohibitive amounts of time and computational requirements to simulate larger clusters on a single processor. 16 In this Letter, we report an integrated electrodynamics- molecular dynamics simulation (ED-MD) technique to improve the search of optical matter isomers and exper- imentally verify the predictions. We calculate the optical binding interactions among Ag NPs with nite-dierence time- Received: December 1, 2017 Accepted: January 16, 2018 Published: January 16, 2018 Letter pubs.acs.org/JPCL Cite This: J. Phys. Chem. Lett. 2018, 9, 545-549 © 2018 American Chemical Society 545 DOI: 10.1021/acs.jpclett.7b03188 J. Phys. Chem. Lett. 2018, 9, 545-549 Downloaded via CLARKSON UNIV on November 18, 2018 at 16:15:59 (UTC). See https://pubs.acs.org/sharingguidelines for options on how to legitimately share published articles.

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Page 1: Self-Organization of Metal Nanoparticles in Light ...yan.web.unc.edu/files/2020/05/47.pdfunique optical matter systems, yet simulation of such self-organization (i.e., optical binding)

Self-Organization of Metal Nanoparticles in Light: Electrodynamics−Molecular Dynamics Simulations and Optical Binding ExperimentsPatrick McCormack,† Fei Han,† and Zijie Yan*

Department of Chemical and Biomolecular Engineering, Clarkson University, Potsdam, New York 13699, United States

*S Supporting Information

ABSTRACT: Light-driven self-organization of metal nanoparticles (NPs) can lead tounique optical matter systems, yet simulation of such self-organization (i.e., opticalbinding) is a complex computational problem that increases nonlinearly with system size.Here we show that a combined electrodynamics−molecular dynamics simulationtechnique can simulate the trajectories and predict stable configurations of silver NPs inoptical fields. The simulated dynamic equilibrium of a two-NP system matches theprobability density of oscillations for two optically bound NPs obtained experimentally.The predicted stable configurations for up to eight NPs are further compared toexperimental observations of silver NP clusters formed by optical binding in a Bessel beam.All configurations are confirmed to form in real systems, including pentagonal clusters withfive-fold symmetry. Our combined simulations and experiments have revealed a diverseoptical matter system formed by anisotropic optical binding interactions, providing a newstrategy to discover artificial materials.

Novel electronic and photonic materials not only rely onthe intrinsic properties of underlying constituents but

also depend on the integration approach.1,2 Light can induceself-organization of microscopic particles into mesoscaleclusters by harnessing their interparticle electrodynamicinteractions.3,4 The particles scatter light and modify theincident field, causing interactions between the particles. If theinteractions are strong, e.g., in an intense laser field, theparticles can self-organize into specific configurations with well-defined interparticle separations. This optical phenomenon wasfirst observed by Burns, Fournier, and Golovchenko in 1989.5

By trapping polystyrene microparticles on a glass surface usinga line-shaped laser trap, they noticed that two trapped particlestended to maintain their separation at the integral multiples ofthe laser wavelength in the host medium, a behavior that theytermed “optical binding”,5 while the optically bound particleswere termed “optical matter”.6 Yet, since then, nearly of all theexperimental reports on optical binding have been focused ondielectric microparticles3,4 because the optical binding forcedepends on the scattering cross section,3 which is usually toosmall for dielectric nanoparticles (NPs).Plasmonic metal NPs have stronger scattering and thus can

show more significant optical binding interactions.7 Similar tomolecular isomers with the same chemical formula but differentatomic arrangements, metal NPs have shown the ability to self-organize into a great variety of photonic clusters (i.e., opticalmatter isomers) by optical binding.7−10 However, accuratelypredicting the optical matter isomers is not a trivial task. Due tothe nature of multibody and directional interactions, thecomplexity of optical binding increases nonlinearly with thenumber of particles involved.3,11 In pioneering work, Ng et al.applied a multiple scattering technique to predict variousgeometric configurations of photonic clusters formed by

dielectric microspheres.12 Later we developed a coupled-dipolemodel for optical binding of multiple NPs.8 The strongelectrodynamic interactions between metal NPs suggest ananalogy to molecular assembly and the formation of atomicclusters.13−15 Therefore, inspired by the role of the potentialenergy surface (PES) in molecular science, we recently foundthat particular equilibrium configurations of optically boundNPs are governed by the electrodynamic PES and, moreimportantly, by the initial positions and pathways of the NPsaccessing particular stationary points of the PES.9 Thiselectrodynamic PES method was effective in explaining theformation of certain optical matter clusters, but the scatteringfield from additional NPs will affect the optical bindinginteractions between the existing NPs; therefore, theirinterparticle separation will change. In principle, the PES ofoptical matter is not static but dynamic; therefore, the PES forthe dynamics of self-organization needs to be continuallymodified. Very recently, a combined electrodynamics−Langevin dynamics approach has been developed to understandoptical binding of Ag NPs.16 The reported results, however,were limited up to three NPs because it would take prohibitiveamounts of time and computational requirements to simulatelarger clusters on a single processor.16

In this Letter, we report an integrated electrodynamics−molecular dynamics simulation (ED−MD) technique toimprove the search of optical matter isomers and exper-imentally verify the predictions. We calculate the opticalbinding interactions among Ag NPs with finite-difference time-

Received: December 1, 2017Accepted: January 16, 2018Published: January 16, 2018

Letter

pubs.acs.org/JPCLCite This: J. Phys. Chem. Lett. 2018, 9, 545−549

© 2018 American Chemical Society 545 DOI: 10.1021/acs.jpclett.7b03188J. Phys. Chem. Lett. 2018, 9, 545−549

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domain (FDTD) simulations and integrate the equations ofmotion using an modified algorithm17,18 from MD simulationsto find the optical matter configurations accurately andefficiently. We have simulated the trajectories and stableconfigurations of optical matter system with up to eight Ag NPsand predicted how the configurations evolve as new NPs enterthe system. The predicted configurations are further confirmedthrough experimental observations of the optical bindingbehaviors of Ag NPs. In particular, we found the existence ofpentagonal photonic clusters from both simulations andexperiments, which may lead to optical matter quasicrystalswith five-fold symmetry.19

We first tested the ED−MD simulation approach (see theMethods section and Figure S1 in the Supporting Information)using a two-particle system where the optical binding behaviorshave been well-studied.5,8,9,15,20 It is known that the dimer has apreferred stable configuration with an interparticle separationaround the wavelength of light in the medium and anorientation perpendicular to the linear polarization. Onlywhen two NPs are assembled along the polarization directioncan a dimer form along this direction, but it is unstable.9 Figure1a shows the simulated trajectories of two Ag NPs assembledfrom different initial positions and orientations in a plane wavepolarized along the x-direction. A single stable configurationwas found for a two-particle system, with both NPs alignedperpendicular to the polarization direction, and a metastableconfiguration was found in the horizontal direction, whichmatches known behavior. It is worth noting that the trajectoriesaround the stable configurations are elliptical instead of roundbecause the equilibrium optical binding separation along thepolarization is longer than that along the perpendiculardirection.We further simulated the self-organization of three and four

Ag NPs in a plane wave. For these cases, all but one of the NPswere placed in a stable configuration, and then, the last NP wasplaced at various angles near the cluster. This was done tomimic a new NP adding itself to a cluster that had alreadyformed9 so that we could observe how one configuration leadsto another (see Figure S2, Supporting Information). When athird NP is added, there are two distinct conformations that thecluster can take. If the third NP enters so that it has a y-positionbetween the existing two NPs, it will tend to form an isoscelestriangle, oriented as shown in Figure 1b-I. The two NPs alignedin the y-direction are closer to each other than the third NP bya small amount. If the NP comes from above or below, thesystem forms a vertical line of three NPs, as shown in Figure1b-II. In both cases, the equilibrium of the two existing NPs isdisrupted and their separation distance changes slightly.When a fourth NP is added, there are three distinct

configurations that form, as plotted in Figure 1c. If the startingconfiguration is the triangle and the new NP comes from above,the triangle will rotate so that two of the NPs are aligned in thex-direction and the new NP sits above the tip of the triangle (c-I). This same configuration will form starting from the threevertically aligned NPs if the new NP comes from the side (c-III). In case II of the four-NP system, two of the NPs collapseand contact each other. This indicates that, although there is apotential energy barrier along the x-direction for a dimer,adding two NPs in the vertical direction decreases the energybarrier and makes the horizontal dimer unstable. The finalconfiguration of the four-NP system extends the chainconfiguration along the y-direction. However, as the chaingets longer, it becomes less likely to occur. In the three-NP

system, as long as the third NP came from a y-position above orbelow the existing two, it would go into the chainconformation. In the four-NP case, the NP must come muchmore closely to vertical for this configuration to form. Thisindicates that, although forming a vertical chain may always bepossible, a configuration with a lower average distance betweenthe NPs is more likely.The simulation method has also revealed several metastable

configurations, as shown by the dashed red circles in Figure 1c-V,VI. These clusters are stable due to their symmetry, but asmall perturbation causes the cluster to change into one of thestable configurations seen previously. In Figure 1c-V, the clusteris the same shape as one of the stable configurations, justrotated by 90°. When perturbed, this system simply rotates toits normal vertical position. In Figure 1c-VI, the startingconformation is not one of the stable ones, but its symmetryallows it to be metastable. When this system is perturbed, itcannot simply rotate to form a stable configuration. Instead, the

Figure 1. ED−MD simulation of light-driven self-organization of AgNPs (150 nm diameter) in water illuminated by a plane wave (λvacuum= 800 nm). The light is linearly polarized along the x-direction. (a)Trajectories of two NPs from different initial positions andorientations. The open circles indicate the equilibrium positions.The NPs can also reach equilibrium positions when they assemblealong the x-direction, but the positions are metastable becausefluctuation will cause the NPs to rotate to open circle positions.Positions of the two NPs are always central-symmetric in thetrajectories. (b) Trajectories of three NPs. The red spheres indicatethe initial positions, and the open cyan circles show the equilibriumpositions. (c) Trajectories of four NPs. I, III, and IV are stableconfigurations, while two NPs in II have collapsed. The dashed redcircles in V and VI are metastable configurations; when the NPs havethermal fluctuations, e.g., to the positions indicated by the red solidspheres, they will transit to other configurations marked by the opencyan circles. VII is a new stable cluster assembled from four Ag NPswith surface charges. All scale bars are 200 nm.

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two pairs rotate separately and one of them eventuallycollapses, leading to case II of Figure 1c.Because the silver NPs are coated with surfactants with

negative charges, the electrostatic forces may also contribute tothe light-driven self-organization. We found that adding chargesto four NPs in the simulation can lead to a new configuration,shown in Figure 1c-VII, with surface charges of −2.11 × 10−18

C for each particle assuming a laser intensity of 10 mW/μm2.This configuration comes from the same starting positions asthose in Figure 1c-II, yet with electrostatic repulsions, the NPshave enough force keeping them apart that they do notcollapse. This indicates that electrostatic forces are notinsignificant in determining conformation and separationdistance.We have conducted experiments to validate the predicted

light-driven self-organization of 150 nm Ag NPs in the relativelyflat central spot of a zero-order Bessel beam. Previously westudied optical binding in a defocused Gaussian beam, but thetrapping force was so strong that it prevented observations ofthe intrinsic optical binding configurations.9 Figure 2a shows

the trajectories of two NPs where the second one entered thefield from a top-right position. When the raw data is plotted,there is too much noise due to strong Brownian motion in arelatively flat optical field (panel I), but when the NP positionsare plotted so that the centroid of the pair is always at theorigin, the noise is almost entirely removed (panel II). The NPsquickly move toward the equilibrium points (panel III), in only

around 0.04 s in this case. The corresponding optical images ofthis assembly process are displayed in Figure 2b. Brownianmotion then causes the dimer to oscillate around theequilibrium points. However, these oscillations are not equalin all directions; instead, they form crescent moon shapes,exactly the same as those shown in the simulation (Figure 1a).These shapes follow the lowest gradient in potential energy,indicating that the optical binding between the two NPs has ahigher radial stability than angular stability. These oscillationsare confirmed though a probability density plot of the two NPs(Figure 2c), where the highest probabilities, i.e., the preferredoptical binding positions, occur at the vertical orientation.These results suggest that our simulation method can correctlypredict the optical binding behaviors of the NPs.Optical binding experiments were also conducted for three-

and four-NP systems, as shown in Figure 3a. All of the

configurations predicted in Figures 1 and 2 were observed inthe experiments, and representative trajectories for formingthese clusters are plotted in Figure 3b. These images andtrajectories give evidence that the simulation method iscorrectly simulating the motion and interactions of the NPs.Figure 3b-III also confirms that electrostatic forces areimportant because the cluster that relies on those forces toform appears here. The trajectories further show how eachcluster can form from a random starting position, and giveinsight into which configurations are preferred. For example, incase IV, the starting position is close to one of the stable ones(Figure 1c-I), but with the NPs slightly offset. Under Brownianmotion, the NPs form a different configuration (Figure 1c-II).In our experiments, this configuration is the most stable one,and it can hardly change to another configuration. Case VI also

Figure 2. Experimental results of light-driven self-organization of twoAg NPs. (a) I. Trajectories of two NPs in 10.3 s with a time interval of1/300 s. II. Replotted trajectories where the centroid of the two NPs ateach time is chosen as the origin of the coordinate system, i.e., theBrownian motion of the dimer system is removed. III. Initialtrajectories of the assembly where rotation of the dimer from nearlyhorizontal to vertical can be seen. (b) Corresponding dark-field opticalimages of the NPs recorded by a camera with a frame rate of 300 fps.(c) Probability density of the NP positions.

Figure 3. Experimental results of light-driven self-organization of threeand four Ag NPs. (a) Optical images of typical photonic clusters atequilibrium positions. (b) Representative trajectories of NPsassembling into the photonic clusters. Red spheres indicate the initialpositions, and open circles are the final positions. All scale bars are 600nm.

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shows that the four-NP chain is relatively difficult to form,requiring a starting position close to the final configuration. Incontrast, the three-NP chain is much easier to form (Figure 3b-II).We have further simulated the equilibrium configurations for

optical matter isomers of five and six Ag NPs and verified thepredicted results with experiments. Figure 4 shows thepredicted and observed optical matter isomers formed bystable optical binding interactions. Clusters with collapseddimers, similar to the case of cluster 4-II, are thus not shownhere. For optical matter isomers with five NPs, we found fiveconfigurations from the simulations, and all have been observedin the experiments, as shown in the first row of Figure 4. Foroptical matter isomers with six NPs, the simulations predicted13 configurations, and again all were observed in ourexperiments. The simulation typically finds a new cluster byadding a new NP to an existing one, but in a special case of 6-XI, we have to move the central NP in 6-IX to get the ring. Inexperiments, the momentum of a new NP entering the systemis sometimes enough to disrupt the existing NPs and cause anew configuration to re-form. In particular, a stable pentagonalphotonic cluster (6-XIII) appeared in both simulations andexperiments, and clusters with seven and eight NPs (7-I and 8-I) expanded from the pentagonal photonic cluster were alsoobserved. These clusters show five-fold symmetry, which isapparently different from the ordinary hexagonal clustersformed in traditional colloidal self-assembly.21 These resultsdemonstrate that new structures can arise from the anisotropic

optical binding interactions, which may lead to optical matterquasicrystals.19

It is worth mentioning that in the current study all photonicclusters are planar structures due to the strong radiationpressure in the laser propagation direction, which confines theNPs near a glass surface. To compensate for the radiationpressure and create 3D optical matter, one needs a dual-beamoptical assembly system using two counterpropagating laserbeams. Accordingly, our simulation method can be extended tomodel the 3D self-organization by releasing and trackingparticle motion in the third dimension. This will largelyincrease the possible configurations for optical binding andcreate new 3D optical matter lattices. An optical lattice can alsobe created by interference of three or more laser beams6,22 orby holographic optical tweezers.23 However, the former methodonly allows certain interference patterns and lacks structuraltunability and the latter generally only works for microparticleswith minimal particle (lattice) separations of several micro-meters.While the 3-D project is beyond the scope of our current

work, our work compares favorably against previoussimulations.8,12,16 The multiple scattering and Maxwell stresstensor methods are efficient, yet many of the structurespredicted by those simulations were not observed in ourexperiments while some observed structures were missing.12

Similar issues exist for the coupled-dipole model that we havedeveloped previously.8 The electrodynamics−Langevin dynam-ics approach is accurate, but the results were limited up to threeNPs due to the heavy computational burden,16 and in order to

Figure 4. Predicted and observed optical matter isomers consisting of up to eight Ag NPs. The plotted schematics are the equilibrium configurationspredicted by simulations, while the optical images show the corresponding clusters observed in the experiments. The two scale bars in the last panelare 600 nm.

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simulate the NP motion using Langevin dynamics, thesimulation sets the displacement of a NP to less than 1/10thof its diameter in each step. Our method shows that it is notnecessary to take steps as small as previously thought to getaccurate simulations of optical binding interactions. A largeimprovement of our method is in the maximum size of thesteps taken between force calculations, and our method allowsthe simulation of larger systems in reasonable time (see FigureS3 and the note on computational cost in the SupportingInformation). In addition, our simulation method can providenew physical insight into the properties of optical matter, e.g.,spatial inhomogeneity of stability in an eight-NP cluster (FigureS4) that has been verified by experiments (Figure S5,Supporting Information).In conclusion, we have developed a combined ED−MD

method to simulate optical binding of silver NPs. We show thatthis method can predict the stable configurations of opticalmatter, as well as the trajectories that the NPs take to get tothose conformations. Experimental images of silver NP clustersshow that all predictions are correct. These simulations alsoshow that metastable conformations can exist in theory, butunder a small perturbation, they change to one of the stableconformations, causing them not to appear in practice. Oneconformation that was observed in experiments was onlypredicted by the simulation when electrostatic forces wereincluded, demonstrating that these forces play a significant rolein cluster formation. These experiments and simulations havefound many new types of photonic clusters, including apentagonal cluster that remains stable as more NPs are added.This could lead to larger structures that retain the five-foldsymmetry found here. The insights gained through thesecombined experiments and simulations can lead to a new wayof discovering artificial materials.

■ ASSOCIATED CONTENT*S Supporting InformationThe Supporting Information is available free of charge on theACS Publications website at DOI: 10.1021/acs.jpclett.7b03188.

Experimental and simulation methods, note on thecomputational cost, flowchart of the simulation, familytree of the optical matter system, and new physicalinsight on inhomogeneous optical binding strength(PDF)

■ AUTHOR INFORMATIONCorresponding Author*E-mail: [email protected] Yan: 0000-0003-0726-7042Author Contributions†P.M. and F.H. contributed equally to this work.NotesThe authors declare no competing financial interest.

■ ACKNOWLEDGMENTSThis material is based upon work supported by the NationalScience Foundation under Grant No. 1610271.

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(2) Benson, O. Assembly of Hybrid Photonic Architectures fromNanophotonic Constituents. Nature 2011, 480, 193−199.(3) Dholakia, K.; Zemanek, P. Colloquium: Gripped by Light:Optical Binding. Rev. Mod. Phys. 2010, 82, 1767−1791.(4) Cizmar, T.; Romero, L. C. D.; Dholakia, K.; Andrews, D. L.Multiple Optical Trapping and Binding: New Routes To Self-Assembly. J. Phys. B: At., Mol. Opt. Phys. 2010, 43, 102001.(5) Burns, M. M.; Fournier, J. M.; Golovchenko, J. A. OpticalBinding. Phys. Rev. Lett. 1989, 63, 1233−1236.(6) Burns, M. M.; Fournier, J. M.; Golovchenko, J. A. Optical Matter:Crystallization and Binding in Intense Optical Fields. Science 1990,249, 749−754.(7) Demergis, V.; Florin, E.-L. Ultrastrong Optical Binding ofMetallic Nanoparticles. Nano Lett. 2012, 12, 5756−5760.(8) Yan, Z.; Shah, R. A.; Chado, G.; Gray, S. K.; Pelton, M.; Scherer,N. F. Guiding Spatial Arrangements of Silver Nanoparticles by OpticalBinding Interactions in Shaped Light Fields. ACS Nano 2013, 7,1790−1802.(9) Yan, Z.; Gray, S. K.; Scherer, N. F. Potential Energy Surfaces andReaction Pathways for Light-Mediated Self-Organization of MetalNanoparticle Clusters. Nat. Commun. 2014, 5, 3751.(10) Yan, Z. J.; Manna, U.; Qin, W.; Camire, A.; Guyot-Sionnest, P.;Scherer, N. F. Hierarchical Photonic Synthesis of Hybrid NanoparticleAssemblies. J. Phys. Chem. Lett. 2013, 4, 2630−2636.(11) Andrews, D. L.; Bradshaw, D. S.; Romero, L. C. D. MultipleLight Scattering and Optomechanical Forces. J. Nanophotonics 2010, 4,041565−041565−15.(12) Ng, J.; Lin, Z. F.; Chan, C. T.; Sheng, P. Photonic ClustersFormed by Dielectric Microspheres: Numerical Simulations. Phys. Rev.B: Condens. Matter Mater. Phys. 2005, 72, 085130.(13) Gordon, R. J.; Rice, S. A. Active Control of the Dynamics ofAtoms and Molecules. Annu. Rev. Phys. Chem. 1997, 48, 601−641.(14) Maitland, G. C.; Rigby, M.; Smith, E. B. Intermolecular Forces:Their Origin and Determination; Clarendon: Oxford, U.K., 1981.(15) Rodriguez, J.; Davila Romero, L. C.; Andrews, D. L. OpticalBinding in Nanoparticle Assembly: Potential Energy Landscapes. Phys.Rev. A: At., Mol., Opt. Phys. 2008, 78, 043805.(16) Sule, N.; Rice, S. A.; Gray, S. K.; Scherer, N. F. AnElectrodynamics-Langevin Dynamics (ED-LD) Approach to SimulateMetal Nanoparticle Interactions and Motion. Opt. Express 2015, 23,29978−29992.(17) Beeman, D. Some Multistep Methods for Use in MolecularDynamics Calculations. J. Comput. Phys. 1976, 20, 130−139.(18) Levitt, M.; Meirovitch, H.; Huber, R. Integrating the Equationsof Motion. J. Mol. Biol. 1983, 168, 617−620.(19) Caspar, D. L. D.; Fontano, E. Five-Fold Symmetry in CrystallineQuasicrystal attices. Proc. Natl. Acad. Sci. U. S. A. 1996, 93, 14271−14278.(20) Dapasse, F.; Vigoureux, J. M. Optical Binding Force betweenTwo Rayleigh Particles. J. Phys. D: Appl. Phys. 1994, 27, 914.(21) Zhang, J.; Li, Y.; Zhang, X.; Yang, B. Colloidal Self-AssemblyMeets Nanofabrication: From Two-Dimensional Colloidal Crystals toNanostructure Arrays. Adv. Mater. 2010, 22, 4249−4269.(22) Slama-Eliau, B.; Raithel, G. Three-Dimensional Arrays ofSubmicron Particles Generated by a Four-Beam Optical Lattice. Phys.Rev. E 2011, 83, 051406.(23) Grier, D. G. A Revolution in Optical Manipulation. Nature2003, 424, 810−816.

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