Unsupervised learning of history-dependent constitutive material laws with thermodynamically-consistent neural networks in the modified Constitutive Relation Error framework

Research article (Computer Methods in Applied Mechanics and Engineering, 2024) · cited 28× · AI/ML
Press Enter · cited answer in seconds

Unsupervised learning of history-dependent constitutive material laws with thermodynamically-consistent neural networks in the modified Constitutive Relation Error framework

Summary

Unsupervised learning of history-dependent constitutive material laws with thermodynamically-consistent neural networks in the modified Constitutive Relation Error framework is a scholarly article[1].

Key Facts

  • Unsupervised learning of history-dependent constitutive material laws with thermodynamically-consistent neural networks in the modified Constitutive Relation Error framework's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Unsupervised learning of history-dependent constitutive material laws with thermodynamically-consistent neural networks in the modified Constitutive Relation Error framework. Retrieved May 24, 2026, from https://4ort.xyz/entity/unsupervised-learning-of-history-dependent-constitutive-material-laws-with-thermodynamically-consistent-neural-networks-
MLA “Unsupervised learning of history-dependent constitutive material laws with thermodynamically-consistent neural networks in the modified Constitutive Relation Error framework.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/unsupervised-learning-of-history-dependent-constitutive-material-laws-with-thermodynamically-consistent-neural-networks-.
BibTeX @misc{4ortxyz_unsupervised-learning-of-history-dependent-constitutive-material-laws-with-thermodynamically-consistent-neural-networks-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Unsupervised learning of history-dependent constitutive material laws with thermodynamically-consistent neural networks in the modified Constitutive Relation Error framework}}, year = {2026}, url = {https://4ort.xyz/entity/unsupervised-learning-of-history-dependent-constitutive-material-laws-with-thermodynamically-consistent-neural-networks-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Unsupervised learning of history-dependent constitutive material laws with thermodynamically-consistent neural networks in the modified Constitutive Relation Error framework — https://4ort.xyz/entity/unsupervised-learning-of-history-dependent-constitutive-material-laws-with-thermodynamically-consistent-neural-networks- (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/unsupervised-learning-of-history-dependent-constitutive-material-laws-with-thermodynamically-consistent-neural-networks- · Last refreshed: