McCormack Patrick, Han Fei, Yan Zijie
Department of Chemical and Biomolecular Engineering, Clarkson University , Potsdam, New York 13699, United States.
J Phys Chem Lett. 2018 Feb 1;9(3):545-549. doi: 10.1021/acs.jpclett.7b03188. Epub 2018 Jan 19.
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 configurations of silver NPs in optical fields. 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 configurations for up to eight NPs are further compared to experimental 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 with five-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 artificial materials.
金属纳米粒子(NPs)的光驱动自组织能够产生独特的光学物质系统,然而,对这种自组织(即光学束缚)的模拟是一个复杂的计算问题,它会随着系统规模的增大而非线性增加。在此,我们展示了一种结合电动力学和分子动力学的模拟技术,该技术能够模拟银纳米粒子在光场中的轨迹并预测其稳定构型。两纳米粒子系统的模拟动态平衡与通过实验获得的两个光学束缚纳米粒子的振荡概率密度相匹配。将多达八个纳米粒子的预测稳定构型与在贝塞尔光束中通过光学束缚形成的银纳米粒子团簇的实验观测结果进一步进行比较。所有构型均被证实在实际系统中形成,包括具有五重对称性的五角形团簇。我们的联合模拟和实验揭示了由各向异性光学束缚相互作用形成的多样光学物质系统,为发现人工材料提供了一种新策略。