56 citations · 95 across the 6 of their papers we have counts for
7 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…
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 Phase Transitions for Quantum Spin Chains from Correlation Aspects
Ming-Chiang Chung, Guang-Yu Huang, Ian P. McCulloch +1
Using machine learning (ML) to recognize different phases of matter and to infer the entire phase diagram has proven to be an effective tool given a large dataset. In our previous…
Deep learning of topological phase transitions from entanglement aspects: An unsupervised way
Yuan-Hong Tsai, Kuo-Feng Chiu, Yong-Cheng Lai +5
Machine learning techniques have been shown to be effective to recognize different phases of matter and produce phase diagrams in the parameter space interested, while they usually…
Deep learning of topological phase transitions from entanglement aspects for two-dimensional chiral p-wave superconductors
Ming-Chiang Chung, Tsung-Pao Cheng, Guang-Yu Huang +1
Applying deep learning to investigate topological phase transitions (TPTs) becomes a useful method due to not only its ability to recognize patterns but also its statistical excell…
SRECG: ECG Signal Super-resolution Framework for Portable/Wearable Devices in Cardiac Arrhythmias Classification
Tsai-Min Chen, Yuan-Hong Tsai, Huan-Hsin Tseng +6
A combination of cloud-based deep learning (DL) algorithms with portable/wearable (P/W) devices has been developed as a smart heath care system to support automatic cardiac arrhyth…
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…