3 papers
cond-mat.supr-con2024
Superband: an Electronic-band and Fermi surface structure database of superconductors
Tengdong Zhang, Chenyu Suo, Yanling Wu +4
In comparison to simpler data such as chemical formulas and lattice structures, electronic band structure data provide a more fundamental and intuitive insight into superconducting…
cond-mat.supr-con2024
A deep learning approach to search for superconductors from electronic bands
Jun Li, Wenqi Fang, Shangjian Jin +5
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 ba…
cond-mat.supr-con2024
The possible coexistence of superconductivity and topological electronic states in 1T-RhSeTe
Tengdong Zhang, Rui Fan, Yan Gao +4
Transition metal dichalcogenides (TMDs), exhibit a range of crystal structures and topological quantum states. The 1 phase, in particular, shows promise for superconductivity dr…