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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |