NeuroSPICE uses PINNs to solve circuit DAEs via residual minimization, creating surrogate models for optimization and handling nonlinear emerging devices.
A Novel Neural -Network Device Modeling Based on Physics -Informed Machine Learning,
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Physics-Informed Neural Networks for Device and Circuit Modeling: A Case Study of NeuroSPICE
NeuroSPICE uses PINNs to solve circuit DAEs via residual minimization, creating surrogate models for optimization and handling nonlinear emerging devices.