39 citations · 40 across the 2 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2026
Data driven screening of CaCu-type magnetic structures
Nabaraj Pokhrel, Sheila Whitman, David S. Parker
We develop a machine learning assisted workflow for the rapid screening of permanent magnet candidates within the CaCu structure family. We generated more than 60,000 structure…
cs.CV2025★ 39 cited
Machine learning of microstructure--property relationships in materials leveraging microstructure representation from foundational vision transformers
Sheila E. Whitman, Marat I. Latypov
Machine learning of microstructure--property relationships from data is an emerging approach in computational materials science. Most existing machine learning efforts focus on the…
cond-mat.mtrl-sci2024★ 1 cited
SR-CLD: Spatially Resolved Chord Length Distributions for Statistical Description and Visualization of Non-uniform Microstructures
Sheila E. Whitman, Marat I. Latypov
This study introduces the calculation of spatially-resolved chord length distribution (SR-CLD) as an efficient approach for quantifying and visualizing non-uniform microstructures…