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GPLaSDI: Gaussian Process-based interpretable Latent Space Dynamics Identification through deep autoencoder

  • Published:2024-01 Issue: Volume:418 Page:116535
  • 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:

Bonneville ChristopheORCID,Choi YoungsooORCID,Ghosh DebojyotiORCID,Belof Jonathan L.ORCID

Funder

Laboratory Directed Research and Development

U.S. Department of Energy

National Nuclear Security Administration

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference75 articles.

1. Modeling and simulation : The computer science of illusion / Stanislaw Raczynski;Raczynski,2006

2. Characterising the digital twin: A systematic literature review;Jones;CIRP J. Manuf. Sci. Technol.,2020

3. Review of digital twin about concepts, technologies, and industrial applications;J. Manuf. Syst.,2020

4. Computational modelling for decision-making: Where, why, what, who and how;Calder;R. Soc. Open Sci.,2018

5. Computer Simulations in Science;Winsberg,2022

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2. Accurate data‐driven surrogates of dynamical systems for forward propagation of uncertainty;International Journal for Numerical Methods in Engineering;2024-08-03

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4. Gappy AE: A nonlinear approach for Gappy data reconstruction using auto-encoder;Computer Methods in Applied Mechanics and Engineering;2024-06

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