A physics-informed neural network acts as an efficient surrogate solver for fluid models of the plasma sheath across parameter regimes.
(7a) and (7b) can be written as ODEs and solved by a numerical scheme such as Runga-Kutta
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A Deep Learning Approach to Describing the Plasma Sheath
A physics-informed neural network acts as an efficient surrogate solver for fluid models of the plasma sheath across parameter regimes.