A perspective on physics-constrained machine learning for chemical engineering that summarizes approaches, applications, and open challenges without introducing a new method.
Physics- constrained deep learning for high-dimensional surrogate modeling and uncertainty quantifi- cation without labeled data
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Physics-Constrained Machine Learning for Chemical Engineering
A perspective on physics-constrained machine learning for chemical engineering that summarizes approaches, applications, and open challenges without introducing a new method.