PINNs trained on fluid sheath equations produce parametric surrogate models that predict plasma sheath profiles across ion species, temperature ratios, and collisionalities, validated against Runge-Kutta solvers.
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A Deep Learning Approach to Describing the Plasma Sheath
PINNs trained on fluid sheath equations produce parametric surrogate models that predict plasma sheath profiles across ion species, temperature ratios, and collisionalities, validated against Runge-Kutta solvers.