2 papers
cs.LG2025
Noise-robust Contrastive Learning for Critical Transition Detection in Dynamical Systems
Wenqi Fang, Ye Li
Detecting critical transitions in complex, noisy time-series data is a fundamental challenge across science and engineering. Such transitions may be anticipated by the emergence of…
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…