Reviews in Computational Chemistry

ISBN 13: 9781119103936

Reviews in Computational Chemistry

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9781119103936: Reviews in Computational Chemistry

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 Theory
  • Long-Range Inter-Particle Interactions:  Insights from Molecular Quantum Electrodynamics (QED) Theory
  • Efficient Transition-State Modeling using Molecular Mechanics Force Fields for the Everyday Chemist
  • Machine Learning in Materials Science:  Recent Progress and Emerging Applications
  • Discovering New Materials via a priori Crystal Structure Prediction
  • Introduction to Maximally Localized Wannier Functions
  • Methods for a Rapid and Automated Description of Proteins: Protein Structure, Protein Similarity, and Protein Folding

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About the Author:

Abby L. Parrill, PhD, is Professor of Chemistry in the Department of Chemistry at the University of Memphis, TN. Her research interests are in bioorganic chemistry, protein modeling and NMR Spectroscopy and rational ligand design and synthesis. In 2011, she was awarded the Distinguished Research Award by University of Memphis Alumni Association. She has given more than 100 presentations,  more than 100 papers and books.

Kenny B. Lipkowitz, PhD, is a recently retired Professor of Chemistry from North Dakota State University.

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Book Description John Wiley Sons Inc, United States, 2016. Hardback. Book Condition: New. 1. Auflage. Language: English . Brand New Book. 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 Theory * Long-Range Inter-Particle Interactions: Insights from Molecular Quantum Electrodynamics (QED) Theory * Efficient Transition-State Modeling using Molecular Mechanics Force Fields for the Everyday Chemist * Machine Learning in Materials Science: Recent Progress and Emerging Applications * Discovering New Materials via a priori Crystal Structure Prediction * Introduction to Maximally Localized Wannier Functions * Methods for a Rapid and Automated Description of Proteins: Protein Structure, Protein Similarity, and Protein Folding. Bookseller Inventory # AAH9781119103936

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Published by John Wiley Sons Inc, United States (2016)
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Book Description John Wiley Sons Inc, United States, 2016. Hardback. Book Condition: New. 1. Auflage. Language: English . Brand New Book. 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 Theory * Long-Range Inter-Particle Interactions: Insights from Molecular Quantum Electrodynamics (QED) Theory * Efficient Transition-State Modeling using Molecular Mechanics Force Fields for the Everyday Chemist * Machine Learning in Materials Science: Recent Progress and Emerging Applications * Discovering New Materials via a priori Crystal Structure Prediction * Introduction to Maximally Localized Wannier Functions * Methods for a Rapid and Automated Description of Proteins: Protein Structure, Protein Similarity, and Protein Folding. Bookseller Inventory # AAH9781119103936

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Book Description John Wiley Sons Inc, United States, 2016. Hardback. Book Condition: New. 1. Auflage. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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 Theory * Long-Range Inter-Particle Interactions: Insights from Molecular Quantum Electrodynamics (QED) Theory * Efficient Transition-State Modeling using Molecular Mechanics Force Fields for the Everyday Chemist * Machine Learning in Materials Science: Recent Progress and Emerging Applications * Discovering New Materials via a priori Crystal Structure Prediction * Introduction to Maximally Localized Wannier Functions * Methods for a Rapid and Automated Description of Proteins: Protein Structure, Protein Similarity, and Protein Folding. Bookseller Inventory # BZV9781119103936

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