activity
20222025
most citedMachine-learning convex and texture-dependent macroscopic yield from crystal plasticity simulations

4 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci2025

A generalized calculation of the rate independent single crystal yield surface

Matthew Kasemer, Paul R. Dawson

In this paper, we discuss a method to calculate the topology of the rate independent single crystal yield surface for materials with arbitrary slip systems and arbitrary slip stren…

cond-mat.mtrl-sci2024★ 1 cited

Orientation reconstruction of transformation titanium alloys via polarized light microscopy: methodology and assessment

Amit Singh, Mark Obstalecki, Darren C. Pagan +2

Emerging microstructural characterization methods have received increased attention owing to their promise of relatively inexpensive and rapid measurement of polycrystalline surfac…

cond-mat.mtrl-sci2024

The influence of substantial intragranular orientation gradients on the micromechanical response of heavily-worked material

Karthik Shankar, Meddelin Setiawan, Katherine S. Shanks +3

In this study, we employ high-energy X-ray characterization to examine the role of relatively large amounts of intragranular lattice misorientation -- present after many thermomech…

cond-mat.mtrl-sci2024★ 3 cited

Establishing the relationship between generalized crystallographic texture and macroscopic yield surfaces using partial input convex neural networks

Lloyd van Wees, Karthik Shankar, Jan N. Fuhg +4

In this study, we present a methodology to predict the macroscopic yield surface of metals and metallic alloys with general crystallographic textures. In previous work, we have est…

cond-mat.mtrl-sci2022★ 1 cited

Graph Neural Network Modeling of Grain-scale Anisotropic Elastic Behavior using Simulated and Measured Microscale Data

Darren C. Pagan, Calvin R. Pash, Austin R. Benson +1

Here we assess the applicability of graph neural networks (GNNs) for predicting the grain-scale elastic response of polycrystalline metallic alloys. Using GNN surrogate models, gra…

cond-mat.mtrl-sci2022★ 4 cited

Machine-learning convex and texture-dependent macroscopic yield from crystal plasticity simulations

Jan N. Fuhg, Lloyd van Wees, Mark Obstalecki +3

The influence of the microstructure of a polycrystalline material on its macroscopic deformation response is still one of the major problems in materials engineering. For materials…