• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

费米子与经典场耦合配分函数的最小能量集合蒙特卡罗算法。

Minimal energy ensemble Monte Carlo algorithm for the partition function of fermions coupled to classical fields.

机构信息

Faculty of Physics, Adam Mickiewicz University in Poznań, Umultowska 85, 61-614 Poznań, Poland.

National Quantum Information Centre of Gdańsk, 81-824 Sopot, Poland.

出版信息

Phys Rev E. 2016 Jun;93(6):061301. doi: 10.1103/PhysRevE.93.061301. Epub 2016 Jun 20.

DOI:10.1103/PhysRevE.93.061301
PMID:27415201
Abstract

Models of noninteracting fermions coupled to auxiliary classical fields are relevant to the understanding of a wide variety of problems in many-body physics, e.g., the description of manganites, diluted magnetic semiconductors, or strongly interacting electrons on lattices. We present a flat-histogram Monte Carlo algorithm that simulates a statistical ensemble that allows one to directly acquire the partition function at all temperatures for such systems. The defining feature of the algorithm is that it utilizes the complete thermodynamic information from the full energy spectrum of noninteracting fermions available during sampling of the configuration space of the classical fields. We benchmark the method for the classical Ising and Potts models in two dimensions, as well as the Falicov-Kimball model describing itinerant electrons interacting with heavy ions.

摘要

与辅助经典场耦合的非相互作用费米子模型与多体物理中各种各样的问题的理解有关,例如,锰氧化物、稀磁半导体或晶格上强相互作用电子的描述。我们提出了一种平面直方图蒙特卡罗算法,该算法模拟了一个统计集合,允许直接在所有温度下获取此类系统的配分函数。该算法的定义特征是,它利用了在经典场构型空间采样过程中,非相互作用费米子的全能谱中提供的完整热力学信息。我们在二维上对经典的伊辛和玻尔兹曼模型以及描述巡游电子与重离子相互作用的法利科夫-金博尔模型对该方法进行了基准测试。

相似文献

1
Minimal energy ensemble Monte Carlo algorithm for the partition function of fermions coupled to classical fields.费米子与经典场耦合配分函数的最小能量集合蒙特卡罗算法。
Phys Rev E. 2016 Jun;93(6):061301. doi: 10.1103/PhysRevE.93.061301. Epub 2016 Jun 20.
2
Green-function-based monte carlo method for classical fields coupled to fermions.基于格林函数的蒙特卡罗方法用于与费米子耦合的经典场。
Phys Rev Lett. 2009 Apr 17;102(15):150604. doi: 10.1103/PhysRevLett.102.150604.
3
Path-integral-expanded-ensemble Monte Carlo method in treatment of the sign problem for fermions.路径积分展开系综蒙特卡罗方法在处理费米子符号问题中的应用
Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Dec;80(6 Pt 2):066702. doi: 10.1103/PhysRevE.80.066702. Epub 2009 Dec 3.
4
Finite-size effects in canonical and grand-canonical quantum Monte Carlo simulations for fermions.费米子正则系综和巨正则系综量子蒙特卡罗模拟中的有限尺寸效应。
Phys Rev E. 2017 Oct;96(4-1):042131. doi: 10.1103/PhysRevE.96.042131. Epub 2017 Oct 16.
5
Determining the density of states for classical statistical models: a random walk algorithm to produce a flat histogram.确定经典统计模型的态密度:一种用于生成平坦直方图的随机游走算法。
Phys Rev E Stat Nonlin Soft Matter Phys. 2001 Nov;64(5 Pt 2):056101. doi: 10.1103/PhysRevE.64.056101. Epub 2001 Oct 17.
6
Overcoming the slowing down of flat-histogram Monte Carlo simulations: cluster updates and optimized broad-histogram ensembles.克服扁平直方图蒙特卡罗模拟的减速:簇更新与优化的宽直方图系综
Phys Rev E Stat Nonlin Soft Matter Phys. 2005 Oct;72(4 Pt 2):046704. doi: 10.1103/PhysRevE.72.046704. Epub 2005 Oct 4.
7
Hofstadter butterfly in the Falicov-Kimball model on some finite 2D lattices.某些有限二维晶格上费利科夫 - 金布尔模型中的霍夫施塔特蝴蝶
J Phys Condens Matter. 2016 Dec 21;28(50):505502. doi: 10.1088/0953-8984/28/50/505502. Epub 2016 Oct 21.
8
Multicanonical Monte Carlo ensemble growth algorithm.多正则蒙特卡罗系综增长算法
Phys Rev E. 2020 Feb;101(2-1):021301. doi: 10.1103/PhysRevE.101.021301.
9
Monte Carlo algorithm for free energy calculation.用于自由能计算的蒙特卡罗算法。
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Jul;92(1):013310. doi: 10.1103/PhysRevE.92.013310. Epub 2015 Jul 29.
10
Comparative Monte Carlo efficiency by Monte Carlo analysis.通过蒙特卡洛分析比较蒙特卡洛效率。
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Sep;82(3 Pt 2):036701. doi: 10.1103/PhysRevE.82.036701. Epub 2010 Sep 9.