most citedDeep learning for thermal plasma simulation: solving 1-D arc model as an example

44 citations · 71 across the 2 of their papers we have counts for

collaborators

2 papers

physics.plasm-ph2022★ 27 cited

Accelerating physics-informed neural network based 1D arc simulation by meta learning

Linlin Zhong, Bingyu Wu, Yifan Wang

Physics-Informed Neural Networks (PINNs) have a wide range of applications as an alternative to traditional numerical methods in plasma simulation. However, in some specific cases…

physics.comp-ph2020★ 44 cited

Deep learning for thermal plasma simulation: solving 1-D arc model as an example

Linlin Zhong, Qi Gu, Bingyu Wu

Numerical modelling is an essential approach to understanding the behavior of thermal plasmas in various industrial applications. We propose a deep learning method for solving the…