Machine Learning and Other Emergent Paradigms in Computational Materials Research (By Invitation Only)
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Co-Guest Editors: Sara Kadkhodaei
Publication Date: February 2021
Keywords: Computational Materials Science & Engineering, Modeling and Simulation, Machine Learning
Scope: The field of computational materials science has been applying essential concepts of machine learning such as guessing and iteratively optimizing solutions, interpolating functions in high-dimensional space, and manipulating patterns in data, effectively since its inception. Recent developments in learning theory and practice, along with the proliferation of data and cheap computing, have resulted in promising new methods and enhanced embodiments of established techniques. This special topic comprises invited papers presented at the Computational Thermodynamics and Kinetics Symposium during the TMS 2020 Annual Meeting & Exhibition.