Deep learning and multi-level featurization of graph representations of microstructural data

Many material response functions depend strongly on microstructure, such as inhomogeneities in phase or orientation. Homogenization presents the task of predicting the mean response of a sample of the microstructure to external loading for use in subgrid models and structure-property explorations. I...

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Veröffentlicht in:	Computational mechanics 2023-07, Vol.72 (1), p.57-75
Hauptverfasser:	Jones, Reese, Safta, Cosmin, Frankel, Ari
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Artificial neural networks Classical and Continuum Physics Computational Science and Engineering Deep learning Discretization Engineering Graph representations Graphical representations Homogenization Machine learning Microstructure Neural networks Original Paper Response functions Segmentation Theoretical and Applied Mechanics
Online-Zugang:	Volltext
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