date: 2018-09-03T13:24:54Z
pdf:PDFVersion: 1.5
pdf:docinfo:title: Fluctuations, Finite-Size Effects and the Thermodynamic Limit in Computer Simulations: Revisiting the Spatial Block Analysis Method
xmp:CreatorTool: LaTeX with hyperref package
access_permission:can_print_degraded: true
subject: The spatial block analysis (SBA) method has been introduced to efficiently extrapolate thermodynamic quantities from finite-size computer simulations of a large variety of physical systems. In the particular case of simple liquids and liquid mixtures, by subdividing the simulation box into blocks of increasing size and calculating volume-dependent fluctuations of the number of particles, it is possible to extrapolate the bulk isothermal compressibility and Kirkwood?Buff integrals in the thermodynamic limit. Only by explicitly including finite-size effects, ubiquitous in computer simulations, into the SBA method, the extrapolation to the thermodynamic limit can be achieved. In this review, we discuss two of these finite-size effects in the context of the SBA method due to (i) the statistical ensemble and (ii) the finite integration domains used in computer simulations. To illustrate the method, we consider prototypical liquids and liquid mixtures described by truncated and shifted Lennard?Jones (TSLJ) potentials. Furthermore, we show some of the most recent developments of the SBA method, in particular its use to calculate chemical potentials of liquids in a wide range of density/concentration conditions.
dc:format: application/pdf; version=1.5
pdf:docinfo:creator_tool: LaTeX with hyperref package
access_permission:fill_in_form: true
pdf:encrypted: false
dc:title: Fluctuations, Finite-Size Effects and the Thermodynamic Limit in Computer Simulations: Revisiting the Spatial Block Analysis Method
modified: 2018-09-03T13:24:54Z
cp:subject: The spatial block analysis (SBA) method has been introduced to efficiently extrapolate thermodynamic quantities from finite-size computer simulations of a large variety of physical systems. In the particular case of simple liquids and liquid mixtures, by subdividing the simulation box into blocks of increasing size and calculating volume-dependent fluctuations of the number of particles, it is possible to extrapolate the bulk isothermal compressibility and Kirkwood?Buff integrals in the thermodynamic limit. Only by explicitly including finite-size effects, ubiquitous in computer simulations, into the SBA method, the extrapolation to the thermodynamic limit can be achieved. In this review, we discuss two of these finite-size effects in the context of the SBA method due to (i) the statistical ensemble and (ii) the finite integration domains used in computer simulations. To illustrate the method, we consider prototypical liquids and liquid mixtures described by truncated and shifted Lennard?Jones (TSLJ) potentials. Furthermore, we show some of the most recent developments of the SBA method, in particular its use to calculate chemical potentials of liquids in a wide range of density/concentration conditions.
pdf:docinfo:subject: The spatial block analysis (SBA) method has been introduced to efficiently extrapolate thermodynamic quantities from finite-size computer simulations of a large variety of physical systems. In the particular case of simple liquids and liquid mixtures, by subdividing the simulation box into blocks of increasing size and calculating volume-dependent fluctuations of the number of particles, it is possible to extrapolate the bulk isothermal compressibility and Kirkwood?Buff integrals in the thermodynamic limit. Only by explicitly including finite-size effects, ubiquitous in computer simulations, into the SBA method, the extrapolation to the thermodynamic limit can be achieved. In this review, we discuss two of these finite-size effects in the context of the SBA method due to (i) the statistical ensemble and (ii) the finite integration domains used in computer simulations. To illustrate the method, we consider prototypical liquids and liquid mixtures described by truncated and shifted Lennard?Jones (TSLJ) potentials. Furthermore, we show some of the most recent developments of the SBA method, in particular its use to calculate chemical potentials of liquids in a wide range of density/concentration conditions.
pdf:docinfo:creator: Maziar Heidari, Kurt Kremer, Raffaello Potestio and Robinson Cortes-Huerto
PTEX.Fullbanner: This is pdfTeX, Version 3.14159265-2.6-1.40.17 (TeX Live 2016/W32TeX) kpathsea version 6.2.2
meta:author: Maziar Heidari, Kurt Kremer, Raffaello Potestio and Robinson Cortes-Huerto
trapped: False
meta:creation-date: 2018-03-24T10:30:19Z
created: 2018-03-24T10:30:19Z
access_permission:extract_for_accessibility: true
Creation-Date: 2018-03-24T10:30:19Z
Author: Maziar Heidari, Kurt Kremer, Raffaello Potestio and Robinson Cortes-Huerto
producer: pdfTeX-1.40.17
pdf:docinfo:producer: pdfTeX-1.40.17
pdf:unmappedUnicodeCharsPerPage: 17
dc:description: The spatial block analysis (SBA) method has been introduced to efficiently extrapolate thermodynamic quantities from finite-size computer simulations of a large variety of physical systems. In the particular case of simple liquids and liquid mixtures, by subdividing the simulation box into blocks of increasing size and calculating volume-dependent fluctuations of the number of particles, it is possible to extrapolate the bulk isothermal compressibility and Kirkwood?Buff integrals in the thermodynamic limit. Only by explicitly including finite-size effects, ubiquitous in computer simulations, into the SBA method, the extrapolation to the thermodynamic limit can be achieved. In this review, we discuss two of these finite-size effects in the context of the SBA method due to (i) the statistical ensemble and (ii) the finite integration domains used in computer simulations. To illustrate the method, we consider prototypical liquids and liquid mixtures described by truncated and shifted Lennard?Jones (TSLJ) potentials. Furthermore, we show some of the most recent developments of the SBA method, in particular its use to calculate chemical potentials of liquids in a wide range of density/concentration conditions.
Keywords: computer simulations; finite-size effects; calculation of free energies; thermodynamic limit
access_permission:modify_annotations: true
dc:creator: Maziar Heidari, Kurt Kremer, Raffaello Potestio and Robinson Cortes-Huerto
description: The spatial block analysis (SBA) method has been introduced to efficiently extrapolate thermodynamic quantities from finite-size computer simulations of a large variety of physical systems. In the particular case of simple liquids and liquid mixtures, by subdividing the simulation box into blocks of increasing size and calculating volume-dependent fluctuations of the number of particles, it is possible to extrapolate the bulk isothermal compressibility and Kirkwood?Buff integrals in the thermodynamic limit. Only by explicitly including finite-size effects, ubiquitous in computer simulations, into the SBA method, the extrapolation to the thermodynamic limit can be achieved. In this review, we discuss two of these finite-size effects in the context of the SBA method due to (i) the statistical ensemble and (ii) the finite integration domains used in computer simulations. To illustrate the method, we consider prototypical liquids and liquid mixtures described by truncated and shifted Lennard?Jones (TSLJ) potentials. Furthermore, we show some of the most recent developments of the SBA method, in particular its use to calculate chemical potentials of liquids in a wide range of density/concentration conditions.
dcterms:created: 2018-03-24T10:30:19Z
Last-Modified: 2018-09-03T13:24:54Z
dcterms:modified: 2018-09-03T13:24:54Z
title: Fluctuations, Finite-Size Effects and the Thermodynamic Limit in Computer Simulations: Revisiting the Spatial Block Analysis Method
xmpMM:DocumentID: uuid:c555c3a2-f37d-43b1-a093-e1b66d0d0305
Last-Save-Date: 2018-09-03T13:24:54Z
pdf:docinfo:keywords: computer simulations; finite-size effects; calculation of free energies; thermodynamic limit
pdf:docinfo:modified: 2018-09-03T13:24:54Z
meta:save-date: 2018-09-03T13:24:54Z
pdf:docinfo:custom:PTEX.Fullbanner: This is pdfTeX, Version 3.14159265-2.6-1.40.17 (TeX Live 2016/W32TeX) kpathsea version 6.2.2
Content-Type: application/pdf
X-Parsed-By: org.apache.tika.parser.DefaultParser
creator: Maziar Heidari, Kurt Kremer, Raffaello Potestio and Robinson Cortes-Huerto
dc:subject: computer simulations; finite-size effects; calculation of free energies; thermodynamic limit
access_permission:assemble_document: true
xmpTPg:NPages: 16
pdf:charsPerPage: 3173
access_permission:extract_content: true
access_permission:can_print: true
pdf:docinfo:trapped: False
meta:keyword: computer simulations; finite-size effects; calculation of free energies; thermodynamic limit
access_permission:can_modify: true
pdf:docinfo:created: 2018-03-24T10:30:19Z