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physics.comp-ph2023
Leveraging Neural Networks with Attention Mechanism for High-Order Accuracy in Charge Density in Particle-in-Cell Simulation
Jian-Nan Chen, Jun-Jie Zhang
In this research, we introduce an innovative three-network architecture that comprises an encoder-decoder framework with an attention mechanism. The architecture comprises a 1st-or…
physics.comp-ph2022★ 1 cited
JefiPIC: A 3-D Full Electromagnetic Particle-in-Cell Simulator Based on Jefimenko's Equations on GPU
Jiannan Chen, Jun-Jie Zhang, Xueming Li +2
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 a…
physics.comp-ph2021★ 9 cited
JefiGPU: Jefimenko's Equations on GPU
Jun-Jie Zhang, Jian-Nan Chen, Guo-Liang Peng +2
We have implemented a GPU version of the Jefimenko's equations -- JefiGPU. Given the proper distributions of the source terms (charge density) and (current density…