9 citations · 15 across the 2 of their papers we have counts for
2 papers
cond-mat.supr-con2024★ 6 cited
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★ 9 cited
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…