6 citations · 8 across the 8 of their papers we have counts for
9 papers
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…
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 …
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…
A Bond weighted tensor renormalization group study of the q-state ferromagnetic Potts models on the square lattice
Yuan-Heng Tseng, Shang-Wei Li, Fu-Jiun Jiang
It is known rigorously that the phase transition of the -state ferromagnetic Potts model on the square lattice is second order for . Despite this fact, some observables of…
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…
Detection of Berezinskii--Kosterlitz--Thouless transitions for the two-dimensional -state clock models with neural networks
Yaun-Heng Tseng, Fu-Jiun Jiang
Using the technique of supervised neural networks (NN), we study the phase transitions of two-dimensional (2D) 6- and 8-state clock models on the square lattice. The employed NN ha…
Mechanosensitive bonds induced complex cell motility patterns
Jen-Yu Lo, Yuan-Heng Tseng, Hsuan-Yi Chen
The one-dimensional crawling movement of a cell is considered in this theoretical study. Our active gel model shows that for a cell with weakly mechanosensitive adhesion complexes,…
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…
Neural network evidence of a weakly first order phase transition for the two-dimensional 5-state Potts model
Yuan-Heng Tseng, Yun-Hsuan Tseng, Fu-Jiun Jiang
A universal (supervised) neural network (NN), which is only trained once on a one-dimensional lattice of 200 sites, is employed to study the phase transition of the two-dimensional…