A journal article written by Mikkel L. Bødker, Tao Du & Morten Mattrup Smedskjær from the Department of Chemistry and Bioscience at Aalborg University, among other authors and affiliations, concerning abstract Machine Learning as an emerging powerful tool to predict the properties of materials, including glass structures. This is done by informing machine learning models with knowledge of how glass composition affects short-range atomic structure, which has the potential to enhance the ability of composition-property models to extrapolate accurately outside of their training sets, among other things. (Summary provided by Infomedia) Sources:Nature, 09-09-2022