2 papers
cond-mat.mtrl-sci2025
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…
cs.CV2025
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…