Evolving Cellular Automata to Grow Microstructures. - David Basanta; Peter J. Bentley; Mark A. Miodownik; Elizabeth A. Holm (EuroGP, 2003)

Evolving and Growing Microstructures of Materials using Biologically Inspired CA. - David Basanta; Mark A. Miodownik; Peter J. Bentley; Elizabeth A. Holm (Evolvable Hardware, 2004)

Building Data-driven Models with Microstructural Images: Generalization and Interpretability. - Julia Ling; Maxwell Hutchinson; Erin Antono; Brian DeCost; Elizabeth A. Holm; Bryce Meredig (CoRR, 2017)

A comparative study of feature selection methods for stress hotspot classification in materials. - Ankita Mangal; Elizabeth A. Holm (CoRR, 2018)

High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel. - Brian L. DeCost; Toby Francis; Elizabeth A. Holm (CoRR, 2018)

Overview: Computer vision and machine learning for microstructural characterization and analysis. - Elizabeth A. Holm; Ryan Cohn; Nan Gao; Andrew R. Kitahara; Thomas P. Matson; Bo Lei; Srujana Rao Yarasi (CoRR, 2020)

Microstructure Generation via Generative Adversarial Network for Heterogeneous, Topologically Complex 3D Materials. - Tim Hsu; William K. Epting; Hokon Kim; Harry W. Abernathy; Gregory A. Hackett; Anthony D. Rollett; Paul A. Salvador; Elizabeth A. Holm (CoRR, 2020)

Unsupervised machine learning via transfer learning and k-means clustering to classify materials image data. - Ryan Cohn; Elizabeth A. Holm (CoRR, 2020)

Neural message passing for predicting abnormal grain growth in Monte Carlo simulations of microstructural evolution. - Ryan Cohn; Elizabeth A. Holm (CoRR, 2021)

Exploring the trade-off between performance and annotation complexity in semantic segmentation. - Marta Fernández-Moreno; Bo Lei; Elizabeth A. Holm; Pablo Mesejo; Raúl Moreno (Eng. Appl. Artif. Intell., 2023)