A physics-informed neural network acts as an efficient surrogate solver for fluid models of the plasma sheath across parameter regimes.
The neural network contained three hidden layers of twenty neurons each in a fully connected feed-forward neural network
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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.