70 citations · 70 across the 2 of their papers we have counts for
2 papers
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
Deep-Learned Generators of Porosity Distributions Produced During Metal Additive Manufacturing
Francis Ogoke, Kyle Johnson, Michael Glinsky +3
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. Howe…