Description

The Reviews in Computational Chemistry series brings together leading authorities in the field to teach the newcomer and update the expert on topics centered on molecular modeling, such as computer-assisted molecular design (CAMD), quantum chemistry, molecular mechanics and dynamics, and quantitative structure-activity relationships (QSAR). This volume, like those prior to it, features chapters by experts in various fields of computational chemistry. Topics in Volume 31 include:

Lattice-Boltzmann Modeling of Multicomponent Systems: An Introduction
Modeling Mechanochemistry from First Principles
Mapping Energy Transport Networks in Proteins
The Role of Computations in Catalysis
The Construction of Ab Initio Based Potential Energy Surfaces
Uncertainty Quantification for Molecular Dynamics

Reviews in Computational Chemistry, Volume 31

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£244.95

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Hardback by Abby L. Parrill , Kenny B. Lipkowitz

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The Reviews in Computational Chemistry series brings together leading authorities in the field to teach the newcomer and update the... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 23/10/2018
    ISBN13: 9781119518020, 978-1119518020
    ISBN10: 1119518024

    Number of Pages: 352

    Non Fiction , Mathematics & Science , Education

    Description

    The Reviews in Computational Chemistry series brings together leading authorities in the field to teach the newcomer and update the expert on topics centered on molecular modeling, such as computer-assisted molecular design (CAMD), quantum chemistry, molecular mechanics and dynamics, and quantitative structure-activity relationships (QSAR). This volume, like those prior to it, features chapters by experts in various fields of computational chemistry. Topics in Volume 31 include:

    Lattice-Boltzmann Modeling of Multicomponent Systems: An Introduction
    Modeling Mechanochemistry from First Principles
    Mapping Energy Transport Networks in Proteins
    The Role of Computations in Catalysis
    The Construction of Ab Initio Based Potential Energy Surfaces
    Uncertainty Quantification for Molecular Dynamics

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