21 citations · 41 across the 2 of their papers we have counts for
2 papers
physics.plasm-ph2022★ 20 cited
Data-driven modeling of Landau damping by physics-informed neural networks
Yilan Qin, Jiayu Ma, Mingle Jiang +5
Kinetic approaches are generally accurate in dealing with microscale plasma physics problems but are computationally expensive for large-scale or multiscale systems. One of the lon…
physics.plasm-ph2022★ 21 cited
Data-driven, multi-moment fluid modeling of Landau damping
Wenjie Cheng, Haiyang Fu, Liang Wang +6
Deriving governing equations of complex physical systems based on first principles can be quite challenging when there are certain unknown terms and hidden physical mechanisms in t…