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20212025
most citedMachine learning phases of an Abelian gauge theory

6 citations · 8 across the 8 of their papers we have counts for

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hep-lat2025

A Machine Learning study of the two-dimensional antiferromagnetic Ising model with nearest and next-to-nearest interactions on the triangular lattice

Shang-Wei Li, Yuan-Heng Tseng, Kai-Wei Huang +1

We study the phase transitions of the two-dimensional antiferromagnetic Ising model with nearest and next-to-nearest interactions on the triangular lattice for $J_2/J_1…

hep-lat2025

The phase transitions of the frustrated - Ising model on the honeycomb lattice

Shang-Wei Li, Yuan-Heng Tseng, Fu-Jiun Jiang

We study the phase transitions of the frustrated - Ising model on the honeycomb lattice using the non-perturbative first principle Monte Carlo simulations. Here …

hep-lat2025★ 2 cited

Comments on the minimal training set for CNN: a case study of the frustrated - Ising model on the square lattice

Shang-Wei Li, Yuan-Heng Tseng, Ming-Che Hsieh +1

The minimal training set to train a working CNN is explored in detail. The considered model is the frustrated - Ising model on the square lattice. Here and $J_2…

hep-lat2024

A neural network study of the phase transitions of the two-dimensional antiferromagnetic -state Potts models on the square lattice

Yuan-Heng Tseng, Fu-Jiun Jiang

The critical phenomena of the two-dimensional antiferromagnetic -state Potts model on the square lattice with are investigated using the techniques of neural networks…

hep-lat2022★ 6 cited

Machine learning phases of an Abelian gauge theory

Jhao-Hong Peng, Yuan-Heng Tseng, Fu-Jiun Jiang

The phase transition of the two-dimensional quantum link model on the triangular lattice is investigated by employing a supervised neural network (NN) consisting of only one…