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20232026
most citedReal-Time Machine-Learning-Based Optimization Using Input Convex Long Short-Term Memory Network

21 citations · 31 across the 4 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

cs.CE2024★ 9 cited

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…

cs.LG2024★ 1 cited

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

Zihao Wang, Yuhan Li, Yao Shi +1

Computational efficiency and robustness are essential in process modeling, optimization, and control for real-world engineering applications. While neural network-based approaches…