Abby L. Parrill – författare

The Reviews in Computational Chemistry series brings together leading authorities in the field to teach the newcomer and update the expert on topics centered around 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 28 include: Free-energy Calculations with MetadynamicsPolarizable Force Fields for Biomolecular ModelingModeling Protein Folding PathwaysAssessing Structural Predictions of Protein-Protein RecognitionKinetic Monte Carlo Simulation of Electrochemical SystemsReactivity and Dynamics at Liquid Interfaces

The Reviews in Computational Chemistry series brings together leading authorities in the field to teach the newcomer and update the expert on topics centered around 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 28 include:

Free-energy Calculations with Metadynamics Polarizable Force Fields for Biomolecular Modeling Modeling Protein Folding Pathways Assessing Structural Predictions of Protein-Protein Recognition Kinetic Monte Carlo Simulation of Electrochemical Systems Reactivity and Dynamics at Liquid Interfaces

The Reviews in Computational Chemistry series brings together leading authorities in the field to teach the newcomer and update the expert on topics centered around 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 28 include:

Free-energy Calculations with Metadynamics Polarizable Force Fields for Biomolecular Modeling Modeling Protein Folding Pathways Assessing Structural Predictions of Protein-Protein Recognition Kinetic Monte Carlo Simulation of Electrochemical Systems Reactivity and Dynamics at Liquid Interfaces

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 29 include: Noncovalent Interactions in Density-Functional TheoryLong-Range Inter-Particle Interactions:  Insights from Molecular Quantum Electrodynamics (QED) TheoryEfficient Transition-State Modeling using Molecular Mechanics Force Fields for the Everyday ChemistMachine Learning in Materials Science:  Recent Progress and Emerging ApplicationsDiscovering New Materials via a priori Crystal Structure PredictionIntroduction to Maximally Localized Wannier FunctionsMethods for a Rapid and Automated Description of Proteins: Protein Structure, Protein Similarity, and Protein Folding

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 29 include: Noncovalent Interactions in Density-Functional TheoryLong-Range Inter-Particle Interactions:  Insights from Molecular Quantum Electrodynamics (QED) TheoryEfficient Transition-State Modeling using Molecular Mechanics Force Fields for the Everyday ChemistMachine Learning in Materials Science:  Recent Progress and Emerging ApplicationsDiscovering New Materials via a priori Crystal Structure PredictionIntroduction to Maximally Localized Wannier FunctionsMethods for a Rapid and Automated Description of Proteins: Protein Structure, Protein Similarity, and Protein Folding

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 29 include: Noncovalent Interactions in Density-Functional TheoryLong-Range Inter-Particle Interactions:  Insights from Molecular Quantum Electrodynamics (QED) TheoryEfficient Transition-State Modeling using Molecular Mechanics Force Fields for the Everyday ChemistMachine Learning in Materials Science:  Recent Progress and Emerging ApplicationsDiscovering New Materials via a priori Crystal Structure PredictionIntroduction to Maximally Localized Wannier FunctionsMethods for a Rapid and Automated Description of Proteins: Protein Structure, Protein Similarity, and Protein Folding

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.•    Provides background and theory, strategies for using the methods correctly, pitfalls to avoid, applications, and references•    Contains updated and comprehensive compendiums of molecular modeling software that list hundreds of programs, services, suppliers and other information that every chemist will find useful•    Includes detailed indices on each volume help the reader to quickly discover particular topics•    Uses a tutorial manner and non-mathematical style, allowing students and researchers to access computational methods outside their immediate area of expertise

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.•    Provides background and theory, strategies for using the methods correctly, pitfalls to avoid, applications, and references•    Contains updated and comprehensive compendiums of molecular modeling software that list hundreds of programs, services, suppliers and other information that every chemist will find useful•    Includes detailed indices on each volume help the reader to quickly discover particular topics•    Uses a tutorial manner and non-mathematical style, allowing students and researchers to access computational methods outside their immediate area of expertise

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.•    Provides background and theory, strategies for using the methods correctly, pitfalls to avoid, applications, and references•    Contains updated and comprehensive compendiums of molecular modeling software that list hundreds of programs, services, suppliers and other information that every chemist will find useful•    Includes detailed indices on each volume help the reader to quickly discover particular topics•    Uses a tutorial manner and non-mathematical style, allowing students and researchers to access computational methods outside their immediate area of expertise

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 IntroductionModeling Mechanochemistry from First PrinciplesMapping Energy Transport Networks in ProteinsThe Role of Computations in CatalysisThe Construction of Ab Initio Based Potential Energy SurfacesUncertainty Quantification for Molecular Dynamics

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 IntroductionModeling Mechanochemistry from First PrinciplesMapping Energy Transport Networks in ProteinsThe Role of Computations in CatalysisThe Construction of Ab Initio Based Potential Energy SurfacesUncertainty Quantification for Molecular Dynamics

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 IntroductionModeling Mechanochemistry from First PrinciplesMapping Energy Transport Networks in ProteinsThe Role of Computations in CatalysisThe Construction of Ab Initio Based Potential Energy SurfacesUncertainty Quantification for Molecular Dynamics

REVIEWS IN COMPUTATIONAL CHEMISTRY

THE LATEST VOLUME IN THE REVIEWS IN COMPUTATIONAL CHEMISTRY SERIES, THE INVALUABLE REFERENCE TO METHODS AND TECHNIQUES IN COMPUTATIONAL CHEMISTRY

Reviews in Computational Chemistry reference texts assist researchers in selecting and applying new computational chemistry methods to their own research. Bringing together writings from leading experts in various fields of computational chemistry, Volume 32 covers topics including global structure optimization, time-dependent density functional tight binding calculations, non-equilibrium self-assembly, cluster prediction, and molecular simulations of microphase formers and deep eutectic solvents. In keeping with previous books in the series, Volume 32 uses a non-mathematical style and tutorial-based approach that provides students and researchers with easy access to computational methods outside their area of expertise.

The chapters comprising Volume 32 are connected by two themes: methods that can be broadly applied to a variety of systems, and special considerations required when modeling specific system types. Each in-depth chapter contains background and theory, strategies for using the methods correctly, mini-tutorials and best practices, and critical literature reviews highlighting advanced applications. Essential reading for both newcomers and experts in the area of molecular modeling, this state-of-the-art resource:

Covers topics such as non-deterministic global optimization (NDGO) approaches and excited-state dynamics calculations Contains a detailed overview of deep eutectic solvents (DESs) and simulation methods Presents methodologies for investigating chemical systems that form microphases with periodic morphologies such as lamellae and cylinders Features step-by-step tutorials on applying techniques to probe and understand the chemical dynamics exhibited in a system Includes detailed subject indices on each volume in the series and up-to-date compendiums of molecular modeling software, services, programs, suppliers, and other useful information

Reviews in Computational Chemistry, Volume 32 is a must-have guide for computational chemists, theoretical chemists, pharmaceutical chemists, biological chemists, chemical engineers, researchers in academia and industry, and graduate students involved in molecular modeling.

REVIEWS IN COMPUTATIONAL CHEMISTRY THE LATEST VOLUME IN THE REVIEWS IN COMPUTATIONAL CHEMISTRY SERIES, THE INVALUABLE REFERENCE TO METHODS AND TECHNIQUES IN COMPUTATIONAL CHEMISTRY Reviews in Computational Chemistry reference texts assist researchers in selecting and applying new computational chemistry methods to their own research. Bringing together writings from leading experts in various fields of computational chemistry, Volume 32 covers topics including global structure optimization, time-dependent density functional tight binding calculations, non-equilibrium self-assembly, cluster prediction, and molecular simulations of microphase formers and deep eutectic solvents. In keeping with previous books in the series, Volume 32 uses a non-mathematical style and tutorial-based approach that provides students and researchers with easy access to computational methods outside their area of expertise. The chapters comprising Volume 32 are connected by two themes: methods that can be broadly applied to a variety of systems, and special considerations required when modeling specific system types. Each in-depth chapter contains background and theory, strategies for using the methods correctly, mini-tutorials and best practices, and critical literature reviews highlighting advanced applications. Essential reading for both newcomers and experts in the area of molecular modeling, this state-of-the-art resource: Covers topics such as non-deterministic global optimization (NDGO) approaches and excited-state dynamics calculationsContains a detailed overview of deep eutectic solvents (DESs) and simulation methodsPresents methodologies for investigating chemical systems that form microphases with periodic morphologies such as lamellae and cylindersFeatures step-by-step tutorials on applying techniques to probe and understand the chemical dynamics exhibited in a systemIncludes detailed subject indices on each volume in the series and up-to-date compendiums of molecular modeling software, services, programs, suppliers, and other useful informationReviews in Computational Chemistry, Volume 32 is a must-have guide for computational chemists, theoretical chemists, pharmaceutical chemists, biological chemists, chemical engineers, researchers in academia and industry, and graduate students involved in molecular modeling.