research
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01/31/2023
Machine learning of evolving physics-based material models for multiscale solid mechanics
In this work we present a hybrid physics-based and data-driven learning ...
research
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09/15/2022
Physically recurrent neural networks for path-dependent heterogeneous materials: embedding constitutive models in a data-driven surrogate
Driven by the need to accelerate numerical simulations, the use of machi...
research
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07/11/2020