Material informatics for layered high-TC superconductors
Superconductors were typically discovered by trial-and-error aided by the knowledge and intuition of individual researchers. In this work, using materials informatics aided by machine learning (ML), we build an ML model of superconductors, which is based on several material descriptors with apparent...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2020-06-01
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| Series: | APL Materials |
| Online Access: | http://dx.doi.org/10.1063/5.0004641 |