252 citations · 559 across the 12 of their papers we have counts for
4 papers · 1 filter
Building Data-driven Models with Microstructural Images: Generalization and Interpretability
Julia Ling, Maxwell Hutchinson, Erin Antono +3
As data-driven methods rise in popularity in materials science applications, a key question is how these machine learning models can be used to understand microstructure. Given the…
Applied Machine Learning to Predict Stress Hotspots I: Face Centered Cubic Materials
Ankita Mangal, Elizabeth A. Holm
We investigate the formation of stress hotspots in polycrystalline materials under uniaxial tensile deformation by integrating full field crystal plasticity based deformation model…
The structure and motion of incoherent Σ3 grain boundaries in FCC metals
Jonathan Humberson, Elizabeth A. Holm
Synthetic driving force molecular dynamics simulations were utilized to survey grain boundary mobility in three classes of incoherent Σ3 twin boundaries: <112>, <110>, and <111> ti…
Exploring the microstructure manifold: image texture representations applied to ultrahigh carbon steel microstructures
Brian L. DeCost, Toby Francis, Elizabeth A. Holm
We introduce a microstructure informatics dataset focusing on complex, hierarchical structures found in a single Ultrahigh carbon steel under a range of heat treatments. Applying i…