Learning stiff chemical kinetics using extended deep neural operators

DOI10.1016/j.cma.2023.116674arXiv2302.12645MaRDI QIDQ6185234

Bryan T. Susi, Somdatta Goswami, George Em. Karniadakis, Ameya D. Jagtap, Hessam Babaee

Publication date: 29 January 2024

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2302.12645

zbMATH Keywords

combustionstiff problemsscientific machine learningneural operators

Mathematics Subject Classification ID

Biology and other natural sciences (92-XX) Classical thermodynamics, heat transfer (80-XX)

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• A quasi-steady-state solver for the stiff ordinary differential equations of reaction kinetics

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