10 citations · 14 across the 10 of their papers we have counts for
10 papers
Exact autoregressive sampling of planar Ising spin glasses via the Kac--Ward theory
Jing Liu, Tao Chen, Tianrui Che +3
Exact sampling from the Boltzmann distribution of spin glasses remains an outstanding challenge: Markov chain Monte Carlo methods suffer from critical slowing down and metastable t…
Emergent critical phases of the Ashkin-Teller model on the Union-Jack Lattice
Changzhi Zhao, Wanzhou Zhang, Yuan Huang +2
The Ashkin-Teller (AT) model is a classic spin model in statistical mechanics. For traditional homogeneous lattices like triangular and kagome lattices, even when frustration exist…
Algorithmic overlaps as thermodynamic variables: from local to cluster Monte Carlo dynamics in critical phenomena
Ian Pilé, Youjin Deng, Lev Shchur
We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Swendsen-Wang and Wolff cl…
Ising models on the hydrogen peroxide and other lattices
Xiaofeng Qian, Youjin Deng, Lev N. Shchur +1
We perform a Monte Carlo analysis of the Ising model on many three-dimensional lattices. By means of finite-size scaling we obtain the critical points and determine the scaling dim…
Variational Monte Carlo (VMC) with row-update Projected Entangled-Pair States (PEPS) and its applications in quantum spin glasses
Tao Chen, Jing Liu, Yantao Wu +2
Solving the quantum many-body ground state problem remains a central challenge in computational physics. In this context, the Variational Monte Carlo (VMC) framework based on Proje…
Spiral states, first-order transitions and specific heat multipeak phenomenon in -- Ising model: A Wang-Landau algorithm study
Habib Ullah, Kun Li, Haoyu Lu +2
The classical -- Ising model on the honeycomb lattice is important for understanding frustrated magnetic phenomena in materials such as FePS and BaCoTeO,…
BatchTNMC: Efficient sampling of two-dimensional spin glasses using tensor network Monte Carlo
Tao Chen, Jingtong Zhang, Jing Liu +2
Efficient sampling of two-dimensional statistical physics systems remains a central challenge in computational statistical physics. Traditional Markov chain Monte Carlo (MCMC) meth…
Phase transitions and crtical exponents in the six-vertex model on kagome lattices
Wei Zhang, Wanzhou Zhang, Jie Zhang +2
Inspired by the experimental realization of direct kagome spin ice [Yue et al., Nat. Nanotechnol. 19, 1101 (2024)], the theoretical six-vertex model on the kagome lattice is system…
Tensor network Monte Carlo simulations for the two-dimensional random-bond Ising model
Tao Chen, Erdong Guo, Wanzhou Zhang +2
Disordered lattice spin systems are crucial in both theoretical and applied physics. However, understanding their properties poses significant challenges for Monte Carlo simulation…
Emergent topological ordered phase for the Ising-XY Model revealed by cluster-updating Monte-Carlo method
Heyang Ma, Wanzhou Zhang, Yanting Tian +2
The two-component cold atom systems with anisotropic hopping amplitudes can be phenomenologically described by a two-dimensional Ising-XY coupled model with spatial anisotropy. At…