The proper orthogonal decomposition technique is applied to a finite-element time-domain
particle-in-cell (PIC) algorithm for the simulation of kinetic plasmas, resulting in a reduced …

A novel electromagnetic particle-in-cell algorithm has been developed for fully kinetic
plasma simulations on unstructured (irregular) meshes in complex body-of-revolution …

Electromagnetic particle‐in‐cell (EMPIC) algorithms have been a popular choice for
simulating kinetic plasmas due to their ability to accurately capture complex transient …

We present a reduced-order model based on the dynamic mode decomposition (DMD) for
capturing the essential dynamics of kinetic plasma simulation. We apply the proposed …

Abstract Development of particle-in-cell (PIC) methods using finite element based methods
(FEMs) have been a topic of renewed interest; this has largely been driven by (a) the ability …

In this article, we review numerical and analytical methods of electronic-electromagnetic
multiphysics modeling for terahertz plasmonic applications. Approaches within semiclassical …

We present a reduced-order model (ROM) based on Koopman autoencoder architecture for
prediction of current density in kinetic plasma simulations. We apply the proposed method to …

This paper presents a novel 3-D full electromagnetic particle-in-cell (PIC) code called
JefiPIC, which uses Jefimenko's equations as the electromagnetic (EM) field solver through …

Numerical Cherenkov radiation (NCR) or instability is a detrimental effect frequently found in
electromagnetic particle-in-cell (EM-PIC) simulations involving relativistic plasma beams …

Model-order reduction is an important tool in the computational exploration of complex
physical phenomena, such as kinetic plasmas. A popular strategy to achieve model …