Work

An input-convex physics-informed constitutive artificial neural network for finite hyperelasticity: architecture, approximation scope, and variational identifiability

Year: 2026

Type: article

Source: Acta Mechanica

DOI: 10.1007/s00707-026-04864-6

Authors: Koffi Enakoutsa, Anqi Li

Institution: University of California, Los Angeles

Language: English

Topic: Elasticity and Material Modeling

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W7207749488

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Cites: 8

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