Brian L DeCost (Brian DeCost)

Years Active: 2019-2023
Publications (10 Years): 6

Carnegie Mellon University

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Carnegie Mellon University Sep 1o 2016

United States

Postdoctoral Research Associate :: Materials Science and Engineering

Publications

Kamal Choudhary, Ramya Gurunathan, Brian L DeCost, Adam J Biacchi
AtomVision: A Machine Vision Library for Atomistic Images. Journal of chemical information and modeling (2023)
Kangming Li, Daniel Persaud, Kamal Choudhary, Brian L DeCost, Michael Greenwood, Jason R Hattrick-Simpers
Exploiting redundancy in large materials datasets for efficient machine learning with less data. Nature communications 14 (1) (2023)
Debra J Audus, Austin McDannald, Brian L DeCost
Leveraging Theory for Enhanced Machine Learning. ACS macro letters 11 (9) (2022)
Francesca Tavazza, Brian L DeCost, Kamal Choudhary
Uncertainty Prediction for Machine Learning Models of Material Properties. ACS omega 6 (48) (2021)
Katherine Lei, Howie Joress, Nils Persson, Jason R Hattrick-Simpers, Brian L DeCost
Aggressively optimizing validation statistics can degrade interpretability of data-driven materials models. The Journal of chemical physics 155 (5) (2021)
Brian L DeCost, Bo Lei, Toby Francis, Elizabeth A Holm
High Throughput Quantitative Metallography for Complex Microstructures Using Deep Learning: A Case Study in Ultrahigh Carbon Steel. Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada 25 (1) (2019)

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