Description

Book Synopsis
This book provides a practical guide to molecular dynamics and Monte Carlo simulation techniques used in the modelling of simple and complex liquids. Computer simulation is an essential tool in studying the chemistry and physics of condensed matter, complementing and reinforcing both experiment and theory. Simulations provide detailed information about structure and dynamics, essential to understand the many fluid systems that play a key role in our daily lives: polymers, gels, colloidal suspensions, liquid crystals, biological membranes, and glasses. The second edition of this pioneering book aims to explain how simulation programs work, how to use them, and how to interpret the results, with examples of the latest research in this rapidly evolving field. Accompanying programs in Fortran and Python provide practical, hands-on, illustrations of the ideas in the text.

Trade Review
This new edition is a welcome update and has kept the strengths of the first edition and been thoroughly refreshed and expanded for the modern age. Whilst there is now much more competition for a textbook such as this, the new edition stands head-and-shoulders above the others and is therefore strongly recommended. * Matt Probert, Contemporary Physics *

Table of Contents
1: Introduction 2: Statistical mechanics 3: Molecular dynamics 4: Monte Carlo methods 5: Some tricks of the trade 6: Long-range forces 7: Parallel simulation 8: How to analyse the results 9: Advanced Monte Carlo methods 10: Rare event simulation 11: Nonequilibrium molecular dynamics 12: Mesoscale methods 13: Quantum simulations 14: Inhomogeneous fluids App. A Computers and computer simulation App. B Reduced units App. C Calculation of forces and torques App. D Fourier transforms and series App. E Random numbers App. F Configurational temperature

Computer Simulation of Liquids

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£61.75

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RRP £65.00 – you save £3.25 (5%)

Order before 4pm today for delivery by Fri 19 Dec 2025.

A Paperback / softback by Michael Patrick Allen, Dominic J. Tildesley

1 in stock


    View other formats and editions of Computer Simulation of Liquids by Michael Patrick Allen

    Publisher: Oxford University Press
    Publication Date: 22/06/2017
    ISBN13: 9780198803201, 978-0198803201
    ISBN10: 0198803206

    Description

    Book Synopsis
    This book provides a practical guide to molecular dynamics and Monte Carlo simulation techniques used in the modelling of simple and complex liquids. Computer simulation is an essential tool in studying the chemistry and physics of condensed matter, complementing and reinforcing both experiment and theory. Simulations provide detailed information about structure and dynamics, essential to understand the many fluid systems that play a key role in our daily lives: polymers, gels, colloidal suspensions, liquid crystals, biological membranes, and glasses. The second edition of this pioneering book aims to explain how simulation programs work, how to use them, and how to interpret the results, with examples of the latest research in this rapidly evolving field. Accompanying programs in Fortran and Python provide practical, hands-on, illustrations of the ideas in the text.

    Trade Review
    This new edition is a welcome update and has kept the strengths of the first edition and been thoroughly refreshed and expanded for the modern age. Whilst there is now much more competition for a textbook such as this, the new edition stands head-and-shoulders above the others and is therefore strongly recommended. * Matt Probert, Contemporary Physics *

    Table of Contents
    1: Introduction 2: Statistical mechanics 3: Molecular dynamics 4: Monte Carlo methods 5: Some tricks of the trade 6: Long-range forces 7: Parallel simulation 8: How to analyse the results 9: Advanced Monte Carlo methods 10: Rare event simulation 11: Nonequilibrium molecular dynamics 12: Mesoscale methods 13: Quantum simulations 14: Inhomogeneous fluids App. A Computers and computer simulation App. B Reduced units App. C Calculation of forces and torques App. D Fourier transforms and series App. E Random numbers App. F Configurational temperature

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