AINeutralarXiv – CS AI · 7h ago6/10
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Physics-Informed Deep Learning for Entropy Prediction in Heterogeneous Systems: Thermodynamic and Information-Theoretic Case Studies
Researchers introduce Physics-Informed Deep Learning (PIDL), a unified neural framework that enforces both differential equations and thermodynamic constraints simultaneously across different physical domains. The framework demonstrates exceptional data efficiency and zero Second Law violations in both thermodynamic and financial modeling applications.