A deep learning approach to search for superconductors from electronic bands

Energy band theory is a foundational framework in condensed matter physics. In this work, we employ a deep learning method, BNAS, to find a direct correlation between electronic band structure and superconducting transition temperature. Our findings suggest that electronic band structures can act as...

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Bibliographische Detailangaben

Hauptverfasser:	Li, Jun, Fang, Wenqi, Jin, Shangjian, Zhang, Tengdong, Wu, Yanling, Xu, Xiaodan, Liu, Yong, Yao, Dao-Xin
Format:	Artikel
Sprache:	eng
Schlagworte:	Physics - Materials Science Physics - Superconductivity
Online-Zugang:	Volltext bestellen
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