Preprint
Aug 2026
Machine learning reveals common features of unconventional superconductors with high transition temperatures
Using interpretable machine learning to uncover a common materials-space signature of high-$T_{\mathrm{c}}$ unconventional superconductors and develop a data-driven strategy for materials discovery, a unified feature representation for each material is constructed.
Haosheng Xu, Dongheng Qian, Yi-Jun Yu et al.
· 0 citations