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)

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)

Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks. - Felipe Oviedo; Zekun Ren; Shijing Sun; Charlie Settens; Zhe Liu; Noor Titan Putri Hartono; Ramasamy Savitha; Brian L. DeCost; Siyu I. P. Tian; Giuseppe Romano; Aaron Gilad Kusne; Tonio Buonassisi (CoRR, 2018)

Scientific AI in materials science: a path to a sustainable and scalable paradigm. - Brian DeCost; Jason Hattrick-Simpers; Zachary Trautt; Aaron Gilad Kusne; Eva Campo; Martin Green (Mach. Learn. Sci. Technol., 2020)

Uncertainty Prediction for Machine Learning Models of Material Properties. - Francesca Tavazza; Brian DeCost; Kamal Choudhary (CoRR, 2021)

Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping. - A. Gilad Kusne; Austin McDannald; Brian L. DeCost; Corey Oses; Cormac Toher; Stefano Curtarolo; Apurva Mehta; Ichiro Takeuchi (CoRR, 2021)

Self-driving Multimodal Studies at User Facilities. - Phillip M. Maffettone; Daniel B. Allan; Stuart I. Campbell; Matthew R. Carbone; Thomas A. Caswell; Brian L. DeCost; Dmitri Gavrilov; Marcus D. Hanwell; Howie Joress; Joshua K. Lynch; Bruce Ravel; Stuart B. Wilkins; et al. (CoRR, 2023)

Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison. - Francesca Tavazza; Kamal Choudhary; Brian DeCost (CoRR, 2023)

Learning material synthesis-process-structure-property relationship by data fusion: Bayesian Coregionalization N-Dimensional Piecewise Function Learning. - A. Gilad Kusne; Austin McDannald; Brian DeCost (CoRR, 2023)

AtomVision: A Machine Vision Library for Atomistic Images. - Kamal Choudhary; Ramya Gurunathan; Brian DeCost; Adam J. Biacchi (J. Chem. Inf. Model., 2023)