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A Tutorial on Physics Constrained Machine Learning for Hybrid Modeling, Optimization, and Control
Physics-constrained machine learning (PCML) integrates domain knowledge, first-principles, and physical constraints into AI/ML models. In this work, we present a step-by-step tutorial of a modular PCML framework, KKT-HardNet, and illustrate how it could be used for hybrid modeling, process simulatio
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