A fully separated space-time decomposition for the simulation of viscoelastic structures

Authors

David Néron (ORCID: https://orcid.org/0000-0002-4382-5091)
Hendrik Geisler (ORCID: https://orcid.org/0000-0001-6797-7690)
Philipp Junker (ORCID: https://orcid.org/0000-0002-8572-6841)

Institutions

Leibniz University Hannover (DE)
Laboratoire de Mécanique Paris-Saclay (FR)

Publication Details

Journal: Computers & Structures
Published: 2025-08-22
DOI: https://doi.org/10.1016/j.compstruc.2025.107912
Primary Topic: Model Reduction and Neural Networks
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Deutsche Forschungsgemeinschaft
HORIZON EUROPE European Research Council

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article

A fully separated space-time decomposition for the simulation of viscoelastic structures

David Néron, Hendrik Geisler, Philipp Junker

Aug 22, 2025

Computers & Structures

Model Reduction and Neural Networks

article

A fully separated space-time decomposition for the simulation of viscoelastic structures

David Néron, Hendrik Geisler, Philipp Junker

August 22, 2025article en

Abstract

No abstract available for this paper.

Computers & StructuresVol. 317

Leibniz University Hannover (DE), Laboratoire de Mécanique Paris-Saclay (FR)

Deutsche Forschungsgemeinschaft, HORIZON EUROPE European Research Council

Sustainable cities and communities

Openalex Percentile: Top 83%

Model Reduction and Neural Networks

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A fully separated space-time decomposition for the simulation of viscoelastic structures — David Néron, Hendrik Geisler, et al. · Computers & Structures (2025) | TGRS Research Map | TGRS