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Reduced order models for Lagrangian hydrodynamics

  • Published:2022-01 Issue: Volume:388 Page:114259
  • 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:

Copeland Dylan Matthew,Cheung Siu WunORCID,Huynh Kevin,Choi YoungsooORCID

Funder

Lawrence Livermore National Laboratory

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

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3. S-OPT: A Points Selection Algorithm for Hyper-Reduction in Reduced Order Models;SIAM Journal on Scientific Computing;2024-07-16

4. Train small, model big: Scalable physics simulators via reduced order modeling and domain decomposition;Computer Methods in Applied Mechanics and Engineering;2024-07

5. 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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