papers
Publications (3)
astro-ph.SR2025
Classifying Cool Dwarfs: Comprehensive Spectral Typing of Field and Peculiar Dwarfs Using Machine Learning
Tianxing Zhou, Christopher A. Theissen, S. Jean Feeser +4
Low-mass stars and brown dwarfs -- spectral types (SpTs) M0 and later -- play a significant role in studying stellar and substellar processes and demographics, reaching down to pla…
cond-mat.str-el2026
Reduced Density Matrices Through Machine Learning
Awwab A. Azam, Lexu Zhao, Jiabin Yu
-particle reduced density matrices (-RDMs) play a central role in understanding correlated phases of matter, but their calculation is often computationally inefficient for st…
cond-mat.mes-hall2026
Ideal Bands in Tight-Binding Models
Lexu Zhao, Yang Ge, Shinsei Ryu +1
A band is called ideal when its Dirichlet functional saturates the topological lower bound. We study ideal bands in finite-band tight-binding models with conventional two-dimension…