Residual correction for POD-Galerkin reduced order models via conditional VAEs: Application to the bias-aware solution of forward and inverse problems

Authors

Ludovic Chamoin (ORCID: https://orcid.org/0000-0002-8361-0757)
Dawen Wu (ORCID: https://orcid.org/0000-0001-6450-9365)

Institutions

Laboratoire de Mécanique Paris-Saclay (FR)

Publication Details

Journal: Computer Methods in Applied Mechanics and Engineering
Published: 2025-11-05
DOI: https://doi.org/10.1016/j.cma.2025.118528
Citations: 1
Primary Topic: Model Reduction and Neural Networks
Type: article
Field-Weighted Citation Impact: 1.32

Funders

National Research Foundation

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article

Residual correction for POD-Galerkin reduced order models via conditional VAEs: Application to the bias-aware solution of forward and inverse problems

Ludovic Chamoin, Dawen Wu

Nov 5, 2025

1 citations

Computer Methods in Applied Mechanics and Engineering

Model Reduction and Neural Networks

1.32

article

Residual correction for POD-Galerkin reduced order models via conditional VAEs: Application to the bias-aware solution of forward and inverse problems

Ludovic Chamoin, Dawen Wu

November 5, 2025article en

1 citations

Abstract

No abstract available for this paper.

Computer Methods in Applied Mechanics and EngineeringVol. 449

Laboratoire de Mécanique Paris-Saclay (FR)

National Research Foundation

Openalex Percentile: Top 15%

Model Reduction and Neural Networks

1.32

DOI Open Access PDF OpenAlex

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Residual correction for POD-Galerkin reduced order models via conditional VAEs: Application to the bias-aware solution of forward and inverse problems — Ludovic Chamoin, Dawen Wu · Computer Methods in Applied Mechanics and Engineering (2025) | TGRS Research Map | TGRS