Abstract: Physics-informed neural networks (PINNs) offer a flexible framework for solving differential equations using physical constraints and data. This study focuses on second-order ...
Simulate first/second-order transient responses, automatically estimate circuit parameters (R, L, C) from noisy measurements using curve-fitting + a small ML model, and provide a Streamlit demo + ...
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