Work

Unsupervised identification of constitutive laws using neural networks in a thermodynamically consistent framework guided by the CRE and mCRE methods

Year: 2025

Type: conference-paper

Source: HAL (Le Centre pour la Communication Scientifique Directe)

Authors: Klebi, Nesrine, Chamoin, Ludovic

Institution: Laboratoire de Mécanique Paris-Saclay

Language: English

Topic: Elasticity and Material Modeling

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W7116593166

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