Gappy AE: A nonlinear approach for Gappy data reconstruction using auto-encoder-Reference-Cited by-同舟云学术

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Gappy AE: A nonlinear approach for Gappy data reconstruction using auto-encoder

Published:2024-06 Issue: Volume:426 Page:116978
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:

Kim Youngkyu^ORCID,Choi Youngsoo^ORCID,Yoo Byounghyun^ORCID

Funder

Ministry of Education

National Nuclear Security Administration

Lawrence Livermore National Laboratory

U.S. Department of Energy

Office of Science

Ministry of Trade, Industry and Energy

Korea Evaluation Institute of Industrial Technology

National Research Foundation of Korea

Korea Institute of Science and Technology

Advanced Scientific Computing Research

Publisher

Elsevier BV

Reference50 articles.

1. Conservative model reduction for finite-volume models;Carlberg;J. Comput. Phys.,2018

2. Accelerating design optimization using reduced order models;Choi,2019

3. Gradient-based constrained optimization using a database of linear reduced-order models;Choi;J. Comput. Phys.,2020

4. Sns: A solution-based nonlinear subspace method for time-dependent model order reduction;Choi;SIAM J. Sci. Comput.,2020

5. Reduced order models for Lagrangian hydrodynamics;Copeland;Comput. Methods Appl. Mech. Engrg.,2022

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