70 citations · 78 across the 3 of their papers we have counts for
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cs.LG2022★ 70 cited
Modular machine learning-based elastoplasticity: generalization in the context of limited data
Jan N. Fuhg, Craig M. Hamel, Kyle Johnson +2
The development of accurate constitutive models for materials that undergo path-dependent processes continues to be a complex challenge in computational solid mechanics. Challenges…
cs.LG2022★ 7 cited
Calibrating constitutive models with full-field data via physics informed neural networks
Craig M. Hamel, Kevin N. Long, Sharlotte L. B. Kramer
The calibration of solid constitutive models with full-field experimental data is a long-standing challenge, especially in materials which undergo large deformation. In this paper,…