3 papers
physics.comp-ph2026
Latent Residual-Closure Fourier Neural Operator for Robust Multi-Field Solving in Particle-in-Cell Simulations
Jianhua Lyu, Linlin Zhong
Particle-in-cell (PIC) simulations are widely used for kinetic plasma modeling in energy applications, but their efficiency is often limited by repeated field solves on dense meshe…
physics.plasm-ph2026
DeepPropNet: an operator learning-based predictor for thermal plasma properties
Zuo Wang, Linlin Zhong
Thermal plasma properties play a critical role in plasma simulations and plasma-related applications. However, their strong nonlinear dependence on temperature, pressure, and gas c…
physics.comp-ph2025
NAS-PINNv2: Improved neural architecture search framework for physics-informed neural networks in low-temperature plasma simulation
Yifan Wang, Linlin Zhong
Limited by the operation and measurement conditions, numerical simulation is often the only feasible approach for studying plasma behavior and mechanisms. Although artificial intel…