Machine Learning and New Paradigms in Computational Materials Research
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Co-Guest Editors: Eva Zarkadoula
Publication Date: September 2022
Keywords: Modeling and Simulation, Machine Learning, High-throughput Framework, Artificial Intelligence, Integrated computational materials engineering
Scope: The field of computational materials science has been applying essential concepts of machine learning such as 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 topic aims to showcase and review some of these developments.