Particle simulation of plasmons

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Particle simulation of plasmons
Particle simulation of plasmons
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Photonics & Electromagnetics Research Symposium (PIERS2019)
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Publication Date:
01 November 2019
7. Wen-Jun DING and Lin WU, “Particle simulation of plasmons”, Photonics & Electromagnetics Research Symposium (PIERS2019), Xiamen, China, 17-20 December 2019.
Particle simulate on has been widely used in studying plasmas. The technique follows the motion of a large assembly of charged particles in external and internal self-consistent electric and magnetic fields [1]. With proper diagnostics, these simulations reveal such details as spatial and temporal distributions of electrons and electromagnetic fields, linear and nonlinear behavior, stochastic and transport phenomena, and approach to interested state. Plasmons, collective oscillations of the free electron gas density in conducting media such as metals, are connected to plasmas by very similar physics, in particular, the notion of collective plasma waves and oscillations [2]. In many cases of interest, plasmons are theoretically characterized by solving the classical Maxwell's equations, where the electromagnetic responses can be described by permittivity. This simulation method pays more attention to fields rather than the motion of electrons. In this work, we apply particle simulation method to simulate plasmons, by updating both particle position and momentum (Newton-Lorentz equation) and electromagnetic fields (Maxwell equations) that are connected by current. Particle simulation of plasmons can offer insights and information that supplement those gained by traditional experimental and theoretical approaches. Specifically, we demonstrate three case studies to show its capability of (I) tracking instantaneous motions of electrons to illustrate the formation of the plasmons [3]; (II) simulating single electron excitation of plasmons; or (III) investigating the non-local effects of ultrasmall nanoparticles approaching quantum limit [4].
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A*STAR SERC Young Individual Research Grants (YIRG No. A1784c0020)

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