3 papers
cond-mat.dis-nn2026
Interpretation of Crystal Energy Landscapes with Kolmogorov-Arnold Networks
Gen Zu, Ning Mao, Claudia Felser +1
Characterizing crystalline energy landscapes is essential to predicting thermodynamic stability, electronic structure, and functional behavior. While machine learning (ML) enables…
cond-mat.mtrl-sci2026
Chiralometer: Direct Torque Detection of Crystal Chirality
Nikolai Peshcherenko, Ning Mao, Claudia Felser +1
Chirality governs phenomena ranging from chemical reactions to the topology of quasiparticle charge carriers. However, a direct macroscopic probe for crystal chirality remains a si…
cond-mat.mes-hall2025
Universal giant spin Hall effect in moire metal
Ning Mao, Cheng Xu, Ting Bao +3
While moiré phenomena have been extensively studied in low-carrier-density systems such as graphene and semiconductors, their implications for metallic systems with large Fermi su…