38 citations · 197 across the 16 of their papers we have counts for
3 papers · 1 filter
Physics-Informed Machine Learning for Modeling Turbulence in Supernovae
Platon I. Karpov, Chengkun Huang, Iskandar Sitdikov +3
Turbulence plays an important role in astrophysical phenomena, including core-collapse supernovae (CCSN), but current simulations must rely on subgrid models since direct numerical…
Mapping the self-generated magnetic fields due to thermal Weibel instability
Chaojie Zhang, Yipeng Wu, Mitchell Sinclair +15
Weibel-type instability can self-generate and amplify magnetic fields in both space and laboratory plasmas with temperature anisotropy. The electron Weibel instability has generall…
Electron Weibel instability induced magnetic fields in optical-field ionized plasmas
Chaojie Zhang, Yipeng Wu, Mitchell Sinclair +14
Generation and amplification of magnetic fields in plasmas is a long-standing topic that is of great interest to both plasma and space physics. The electron Weibel instability is a…