activity
20032023
most citedFrom an Antiferromagnet to a Valence Bond Solid: Evidence for a First Order Phase Transition

130 citations · 771 across the 55 of their papers we have counts for

collaborators

55 papers

cond-mat.dis-nn2023

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…

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…

cond-mat.stat-mech2022

Unexpected results of the phase transitions of four-state Potts model on the square and the honeycomb lattices

Jhao-Hong Peng, Fu-Jiun Jiang

It is widely believed that the phase transition for the four-state ferromagnetic Potts model on the square lattice is of the pseudo-first order. Specifically, it is expected that f…

cond-mat.str-el2022

The numerical value for a universal quantity of a two-dimensional dimerized quantum antiferromagnet

Fu-Jiun Jiang

The numerical value of a universal quantity associated with the quantum critical regime, namely , for a two-dimensional (2D) dimerized spin-1/2 antiferromagnet is calcul…

cond-mat.str-el2022

Evidence of anomalous Curie constants for nonmagnetic impurities in a critical 2-dimensional model on the honeycomb lattice

L. -W. Huang, J-H. Peng, F. -J. Jiang

The Curie constants of a spin-1/2 and a spin-1 impurities are calculated using the quantum Monte Carlo simulations. Here the impurity…

cond-mat.stat-mech2021

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…