7 citations · 7 across the 2 of their papers we have counts for
2 papers
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…
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,…