28 citations · 28 across the 4 of their papers we have counts for
5 papers
Deep Learning of Phase Transitions for Bilinear-Biquadratic Spin-1 Chains from Correlation Aspects
Ming-Chiang Chung, Yu-Ting Kuo, Ian McCulloch +1
We investigate the role of different correlation functions in reconstructing the phase diagram of the spin-1 bilinear-biquadratic chain, parametrized by the angle between the b…
Three-photon photoemission on metallic transition metal dichalcogenide NiTe
Cheng-Tien Chiang, Mukesh Singh, Yu-Jhen Chuang +6
Three-photon photoemission (3PPE) signals on NiTe are observed for the first time upon ultraviolet excitations. In the energy range beyond two-photon excitations, an energy-m…
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…
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…
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…