tLaSDI: Thermodynamics-informed latent space dynamics identification-Reference-Cited by-同舟云学术

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tLaSDI: Thermodynamics-informed latent space dynamics identification

Published:2024-09 Issue: Volume:429 Page:117144
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Park Jun Sur Richard,Cheung Siu Wun^ORCID,Choi Youngsoo^ORCID,Shin Yeonjong^ORCID

Publisher

Elsevier BV

Reference52 articles.

1. Automated reverse engineering of nonlinear dynamical systems;Bongard;Proc. Natl. Acad. Sci.,2007

2. Distilling free-form natural laws from experimental data;Schmidt;Science,2009

3. Discovering governing equations from data by sparse identification of nonlinear dynamical systems;Brunton;Proc. Natl. Acad. Sci.,2016

4. Hidden physics models: Machine learning of nonlinear partial differential equations;Raissi;J. Comput. Phys.,2018

5. Data-driven deep learning of partial differential equations in modal space;Wu;J. Comput. Phys.,2020

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