Physics-Informed Deep Learning for Soliton Dynamics and Energy Flow Control in Nonlinear Physical Systems
Nonlinear field equations that model high-energy physical systems are frequently hampered by limited integration of deep learning frameworks and the absence of robust hybrid analytical-computational methodologies. In the current research, we overcome such challenges by examining the complex coupled Higgs field equati...