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相关论文: Statistical recovery of the classical spin Hamilto…

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We present \texttt{ESpinS} (Esfahan Spin Simulation) package to evaluate the thermodynamic properties of spin systems described by a spin model Hamiltonian. In addition to the Heisenberg exchange term, the spin Hamiltonian can contain…

计算物理 · 物理学 2021-08-17 Nafise Rezaei , Mojtaba Alaei , Hadi Akbarzadeh

We develop a method to estimate the spin-spin interactions in the Hamiltonian from the observed magnetization curve by machine learning based on Bayesian inference. In our method, plausible spin-spin interactions are determined by…

统计力学 · 物理学 2018-03-08 Ryo Tamura , Koji Hukushima

Recent numerical advances in the field of strongly correlated electron systems allow the calculation of the entanglement spectrum and entropies for interacting fermionic systems. An explicit determination of the entanglement (modular)…

强关联电子 · 物理学 2018-11-16 Francesco Parisen Toldin , Fakher F. Assaad

Recent advances in the field of strongly correlated electron systems allow to access the entanglement properties of interacting fermionic models, by means of Monte Carlo simulations. We briefly review the techniques used in this context to…

统计力学 · 物理学 2019-04-12 Francesco Parisen Toldin , Fakher F. Assaad

A three-dimensional chiral helimagnet is analyzed using a mean-field (MF) analysis and a classical Monte Carlo (MC) simulation at finite temperatures. We consider a Hamiltonian containing Heisenberg exchange and uni-axial…

强关联电子 · 物理学 2016-06-30 Misako Shinozaki , Shintaro Hoshino , Yusuke Masaki , Jun-ichiro Kishine , Yusuke Kato

The classical spin system consisting of three spins with Heisenberg interaction is an example of a completely integrable mechanical system. In this paper we explicitly calculate thermodynamic quantities as density of states, specific heat,…

统计力学 · 物理学 2022-11-23 Heinz-Jürgen Schmidt , Christian Schröder

Various types of mixed spin two-dimensional Heisenberg networks are investigated by means of Monte Carlo simulations. This study aims at interpreting quantitatively the thermodynamical properties of two-dimensional molecule-based magnets…

统计力学 · 物理学 2009-10-30 B. Mombelli , O. Kahn , J. Leandri , Y. Leroyer , S. Mechkov , Y. Meurdesoif

In this study, we use Hubbard-Corrected density functional theory (DFT+$U$) to derive spin model Hamiltonians consisting of Heisenberg exchange interactions up to the fourth nearest neighbors and bi-quadratic interactions. We map the…

材料科学 · 物理学 2023-05-03 Mojtaba Alaei , Homa Karimi

An extension of the Heisenberg Hamiltonian is discussed, that allows to go beyond the standard bilinear spin Hamiltonian taking into account various contributions due to multispin interactions having both chiral and non-chiral character.…

材料科学 · 物理学 2020-05-06 S. Mankovsky , S. Polesya , H. Ebert

In this paper, we theoretically study the critical properties of the classical spin-1 Ising model using two approaches: 1) the analytical low-temperature series expansion and 2) the numerical Metropolis Monte Carlo technique. Within this…

统计力学 · 物理学 2020-07-20 Amir Taheridehkordi , Roberto Zivieri

We describe a minimal model, based on a spin only Hamiltonian with a single energy scale for itinerant electron metamagnetism. Within this model the metamagnetic critical field is directly proportional to the temperature where a peak in the…

强关联电子 · 物理学 2018-08-20 P. Kumar , B. S. Shivaram , V. Celli

Diffusion Monte Carlo is one of the most accurate scalable many-body methods for solid state systems. However, to date, spin-orbit interactions have not been incorporated into these calcualtions at a first-principles level; only having been…

材料科学 · 物理学 2020-03-04 Yueqing Chang , Lucas K. Wagner

We present a technique to map an electronic model with local interactions (a generalized multi-orbital Hubbard model) onto an effective model of interacting classical spins, by requiring that the thermodynamic potentials associated to spin…

强关联电子 · 物理学 2015-05-27 Andrea Secchi , Alexander I. Lichtenstein , Mikhail I. Katsnelson

A generalised extraction procedure for magnetic interactions using effective Hamiltonians is presented that is applicable to systems with more than two sites featuring local spins $S_i \geq 1$. To this end, closed, non-recursive expressions…

化学物理 · 物理学 2025-06-03 Arta A. Safari , Nikolay A. Bogdanov

Antiferromagnetic Heisenberg spin chains with various spin values ($S=1/2,1,3/2,2,5/2$) are studied numerically with the quantum Monte Carlo method. Effective spin $S$ chains are realized by ferromagnetically coupling $n=2S$…

强关联电子 · 物理学 2009-10-30 Y. J. Kim , M. Greven , U. -J. Wiese , R. J. Birgeneau

A statistical physics model for the time evolutions of stock portfolios is proposed. In this model the time series of price changes are coded into the sequences of up and down spins. The Hamiltonian of the system is introduced and is…

统计力学 · 物理学 2008-12-02 Jun-ichi Maskawa

Using a collective-mode Monte Carlo method (the Wolff-Swendsen-Wang algorithm), we compute the spin-stiffness of the two-dimensional classical Heisenberg model. We show that it is the relevant physical quantity to investigate the behaviour…

凝聚态物理 · 物理学 2009-10-22 Michel Caffarel , Patrick Azaria , Bertrand Delamotte , Dominique Mouhanna

Spin models like the Heisenberg Hamiltonian effectively describe the interactions of open-shell transition-metal ions on a lattice and can account for various properties of magnetic solids and molecules. Numerical methods are usually…

强关联电子 · 物理学 2025-06-24 Shadan Ghassemi Tabrizi , Thomas D. Kühne

The spin-1/2 Heisenberg model is formulated in terms of a mean-field approximation (MFA) by using the matrix forms of spin operators $\hat{S}_x,\hat{S}_y$ and $\hat{S}_z$ in three-dimensions. The considered Hamiltonian consists of bilinear…

统计力学 · 物理学 2022-10-10 E. Albayrak

A method is proposed to study the finite-temperature behaviour of small magnetic clusters based on solving the stochastic Landau-Lifshitz-Gilbert equations, where the effective magnetic field is calculated directly during the solution of…

材料科学 · 物理学 2014-05-23 L. Rózsa , L. Udvardi , L. Szunyogh
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