Article

Physics-informed machine learning for automatic model reduction in chemical reaction networks

2024-03-23

Abstract excerpt

Physics-informed machine learning emerges as a transformative approach, bridging the gap between the high fidelity of mechanistic models and the adaptive, data-driven insights afforded by artificial intelligence and machine learning. In the realm of chemical reaction network modeling, this synergy is particularly valuable. It offers a solution to the pro-hibitive computational costs associated with detailed mechan...

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Literature Corpus work: a874c8f7-cdbb-5db2-838e-f1d3314d5727
DOI: 10.1101/2024.03.20.585845

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