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https://doi.org/10.2139/ssrn.5...
Article . 2025 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2025
License: CC BY
Data sources: Datacite
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Particle-in-Cell Simulations of Quantum Plasmas

Authors: Ngirmang, Gregory K.; Do, Hue T. B.; Liu, Guangxin; Bosman, Michel; Wu, Lin;

Particle-in-Cell Simulations of Quantum Plasmas

Abstract

Room-temperature metals and semi-metals which consist of a gas of bound electrons in a near-continuum band structure can be classified as cold quantum plasmas. This insight suggests that Particle-in-Cell (PIC) simulations, traditionally used for modeling classical plasmas, may be adapted for the next generation of nanoscopic simulations in photonics, plasmonics, and beyond. This article introduces four key physics modules implemented in two open-source PIC codes that can be applied to condensed matter calculations. These modules include (I) the incorporation of Fermi-Dirac (FD) electrons, (II) material structure boundary conditions, (III) a bound particle model for linear dispersive materials, and (IV) the inclusion of massless Dirac carriers for simulating graphene-like materials. By integrating these modules into existing PIC frameworks, we provide a versatile and self-consistent approach for simulating condensed matter systems, opening new avenues for modeling dynamic phenomena in photonics and plasmonics.

15 pages, 8 figures. See ancillary files for supplemental information

Keywords

Plasma Physics (physics.plasm-ph), FOS: Physical sciences, Computational Physics (physics.comp-ph), Physics - Computational Physics, Physics - Plasma Physics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green