Hybrid Physics-Informed Reinforcement Learning for Plasma Characterization in Electrical Wire Explosions
Abstract Accurate prediction of discharge observables in electrical wire explosions is challenging due to the inherent nonlinearities in plasma behavior, especially when experimental datasets are limited. This study presents a hybrid physics-informed modeling framework that combines analytical scaling laws with a reinf...