MONTE CARLO SIMULATIONS OF THE ISING MODEL ON THREE-DIMENSIONAL RANDOM LATTICE USING THE CLUSTER ALGORITHM | Zendy

JI DA-REN | Zendy; Jianbo Zhang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

MONTE CARLO SIMULATIONS OF THE ISING MODEL ON THREE-DIMENSIONAL RANDOM LATTICE USING THE CLUSTER ALGORITHM

Author(s) -

JI DA-REN,

Jianbo Zhang

Publication year - 1993

Publication title -

acta physica sinica

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.199

H-Index - 47

ISSN - 1000-3290

DOI - 10.7498/aps.42.1741

Subject(s) - ising model , monte carlo method , statistical physics , lattice (music) , critical exponent , critical point (mathematics) , exponent , hybrid monte carlo , physics , algorithm , computer science , mathematics , phase transition , condensed matter physics , markov chain monte carlo , statistics , mathematical analysis , linguistics , philosophy , acoustics

In order to reduce the critical slowing down in Monte Carlo simulations, a numerical study for the Ising model on 3-D random lattice using Swendsen-Wang algorithm is performed. The critical point obtained is βc=0. 075±0. 001. Moreover, to analyse the dynamical property of Swendsen-Wang method, the dynamical critical exponent z is estimated. The result is z =0. 74 ±0. 03. This indicates that the Swendsen-Wang method can greatly reduce the critical slowing down for the Ising model on 3-D random lattice.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research