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Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws

Fuente: arXiv

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Bibliographische Detailangaben
Hauptverfasser:	Bhattacharya, Kaushik, Cao, Lianghao, Stuart, Andrew
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Materials Science Machine Learning Numerical Analysis Computational Physics Computation
Online-Zugang:	Acceder al recurso
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