Embedding Physics into Neural ODEs to learn Kinetics from Integral Reactors

Author:

Kircher Tim,Döppel Felix A.,Votsmeier Martin

Funder

Bundesministerium für Bildung und Forschung

Publisher

Elsevier

Reference7 articles.

1. Neural ordinary differential equations;Chen;Advances in neural information processing systems,2018

2. Analyses of Reaction Schemes Using De Donder Relations;Dumesic;Journal of Catalysis,1999

3. Efficient machine learning based surrogate models for surface kinetics by approximating the rates of the rate-determining steps;Döppel;Chemical Engineering Science,2022

4. Modeling the simultaneous oxidation of CO and H2 on Pt - Promoting effect of H2 on the CO-light-off;Hauptmann;Applied Catalysis A: General,2011

5. A neural network with embedded stoichiometry and thermodynamics for learning kinetics from reactor data;Kircher;ChemRxiv preprint,2023

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