3 papers
cond-mat.mtrl-sci2026
Multiple Softening Q-vectors Driving a Cascade of CDW Phases in
Zheng-Hong Li, Yung-Ting Lee, Yu-Chan Tai +8
Charge density wave (CDW) formation in two-dimensional materials is governed by complex competing lattice instabilities that remain incompletely understood. Here, we investigate th…
cond-mat.mtrl-sci2025
High-Throughput GW Calculations via Machine Learning
Ragab. A. Abdelghany, Chih-En Hsu, Hung-Chung Hsueh +2
We present a machine learning (ML) framework that predicts quasiparticle energies across molecular dynamics (MD) trajectories with high accuracy and efficiency. Using only…
cond-mat.stat-mech2019
Deep learning of topological phase transitions from entanglement aspects
Yuan-Hong Tsai, Meng-Zhe Yu, Yu-Hao Hsu +1
The one-dimensional -wave superconductor proposed by Kitaev has long been a classic example for understanding topological phase transitions through various methods, such as exam…