Physics-informed State-space Neural Networks for transport phenomena-Reference-Cited by-同舟云学术

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Physics-informed State-space Neural Networks for transport phenomena

Published:2024-07 Issue: Volume:133 Page:108245
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Dave Akshay J.^ORCID,Vilim Richard B.

Funder

Laboratory Directed Research and Development

Argonne National Laboratory

Publisher

Elsevier BV

Reference28 articles.

1. State–space modeling for control based on physics-informed neural networks;Arnold;Eng. Appl. Artif. Intell.,2021

2. Transport Phenomena for Chemical Reactor Design;Belfiore,2003

3. Transport Phenomena;Bird,2006

4. Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next;Cuomo;J. Sci. Comput.,2022

5. CVXPY: A Python-embedded modeling language for convex optimization;Diamond;J. Mach. Learn. Res.,2016

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