Nathan Johnson, ADAPT PhD student, authored a comprehensive review of machine learning for additive manufacturing that is in press with Additive Manufacturing. The open-access article is titled “Invited Review: Machine Learning for Materials Developments in Metals Additive Manufacturing” and can be retrieved from https://doi.org/10.1016/j.addma.2020.101641.
Co-authors include Drs. Praveen Vulimiri and Albert To from the University of Pittsburgh and Drs. Xiaoli Zhang, Craig Brice, Branden Kappes and Aaron Stebner from Colorado School of Mines. The paper includes work done by Mr. Johnson at Los Alamos National Laboratory.