Machines for Materials and Materials for Machines: Metal-Insulator Transitions and Artificial Intelligence

In this perspective, we discuss the current and future impact of artificial intelligence and machine learning for the purposes of better understanding phase transitions, particularly in correlated electron materials. We take as a model system the rare-earth nickelates, famous for their thermally-dri...

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Bibliographic Details
Main Authors: del Valle, J. (Author), Fowlie, J. (Author), Georgescu, A.B (Author), Mundet, B. (Author), Tückmantel, P. (Author)
Format: Article
Language:English
Published: Frontiers Media S.A. 2021
Subjects:
Online Access:View Fulltext in Publisher

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