Fu-Jiun Jiang

activity

20102025

most citedInterfaces, Strings, and a Soft Mode in the Square Lattice Quantum Dimer Model

44 citations · 120 across the 12 of their papers we have counts for

collaborators

Showing hep-latShow all

5 papers · 1 filter

hep-lat2025

A Machine Learning study of the two-dimensional antiferromagnetic $q$ -state Potts model on the square lattice

Shang-Wei Li, Kai-Wei Huang, Chien-Ting Chen +1

The critical phenomena of two-dimensional (2D) antiferromagnetic $q$ -state Potts model on the square lattice with $q = 2, 3, 4, 5$ and 6 are investigated using the technique of supervis…

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 $J_{1}$ and next-to-nearest $J_{2}$ interactions on the triangular lattice for $J_2/J_1…

hep-lat2025

The phase transitions of the frustrated $J_{1}$ - $J_{2}$ Ising model on the honeycomb lattice

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

We study the phase transitions of the frustrated $J_{1}$ - $J_{2}$ Ising model on the honeycomb lattice using the non-perturbative first principle Monte Carlo simulations. Here $J_{1} < 0$ …

hep-lat2025★ 2 cited

Comments on the minimal training set for CNN: a case study of the frustrated $J_{1}$ - $J_{2}$ 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 $J_{1}$ - $J_{2}$ Ising model on the square lattice. Here $J_{1} < 0$ and $J_2…

hep-lat2024

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

Yuan-Heng Tseng, Fu-Jiun Jiang

The critical phenomena of the two-dimensional antiferromagnetic $q$ -state Potts model on the square lattice with $q = 2, 3, 4$ are investigated using the techniques of neural networks…

A Machine Learning study of the two-dimensional antiferromagnetic q-state Potts model on the square lattice

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

The phase transitions of the frustrated J1​-J2​ Ising model on the honeycomb lattice

Comments on the minimal training set for CNN: a case study of the frustrated J1​-J2​ Ising model on the square lattice

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

A Machine Learning study of the two-dimensional antiferromagnetic $q$ -state Potts model on the square lattice

The phase transitions of the frustrated $J_{1}$ - $J_{2}$ Ising model on the honeycomb lattice

Comments on the minimal training set for CNN: a case study of the frustrated $J_{1}$ - $J_{2}$ Ising model on the square lattice

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