Peer-Reviewed Journal Papers

[1] S.E. Whitman, G. Hu, H. C. Taylor, R. B. Wicker, M.I. Latypov, Automated segmentation and chord length distribution of melt pools in complex 3D printed metal artifacts, Integrating Materials and Manufacturing Innovation (2023).
[2] S.E. Whitman, M.I. Latypov, SR-CLD: Spatially Resolved Chord Length Distributions for Statistical Description and Visualization of Non-uniform Microstructures, Metallurgical and Materials Transactions A (2025).
[3] S.E. Whitman, M.I. Latypov, Machine learning of microstructure–property relationships in materials leveraging microstructure representation from foundational vision transformers, Acta Materialia (2025).

Peer-Reviewed Conference Papers

[4] S.E. Whitman, G. Hu, M.I. Latypov, Learning microstructure–property relationships in materials with robust features from vision transformers, Computer Vision for Materials Science – CVPR Workshop (2024).