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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.plasm-ph2024
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…