1 citations · 1 across the 3 of their papers we have counts for
4 papers
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…
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…
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…
DeepCSNet: a deep learning method for predicting electron-impact doubly differential ionization cross sections
Yifan Wang, Linlin Zhong
Electron-impact ionization cross sections of atoms and molecules are essential for plasma modelling. However, experimentally determining the absolute cross sections is not easy, an…