most citedInput Convex Lipschitz Recurrent Neural Networks for Robust and Efficient Process Modeling and Optimization

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cs.CE2025

Towards Foundation Model for Chemical Reactor Modeling: Meta-Learning with Physics-Informed Adaptation

Zihao Wang, Zhe Wu

Developing accurate models for chemical reactors is often challenging due to the complexity of reaction kinetics and process dynamics. Traditional approaches require retraining mod…