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Rediscovering Hyperelasticity by Deep Symbolic Regression

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 2, 30 January 2026.
ABSTRACT Accurate hyperelastic material modeling of elastomers under multi‐axial loading still remains a research challenge. This work employs deep symbolic regression as an interpretable machine learning approach to discover novel strain energy functions directly from experimental results, with a specific focus on the classical Treloar and Kawabata ...
Rasul Abdusalamov, Mikhail Itskov
wiley   +1 more source

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