Modular machine learning-based elastoplasticity: generalization in the context of limited data

no code implementations • 15 Oct 2022 • Jan N. Fuhg, Craig M. Hamel, Kyle Johnson, Reese Jones, Nikolaos Bouklas

The development of accurate constitutive models for materials that undergo path-dependent processes continues to be a complex challenge in computational solid mechanics.

Deep-Learned Generators of Porosity Distributions Produced During Metal Additive Manufacturing

no code implementations • 11 May 2022 • Francis Ogoke, Kyle Johnson, Michael Glinsky, Chris Laursen, Sharlotte Kramer, Amir Barati Farimani

Laser Powder Bed Fusion has become a widely adopted method for metal Additive Manufacturing (AM) due to its ability to mass produce complex parts with increased local control.