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