Annual Reports in Computational Chemistry

Nonfiction, Science & Nature, Science, Chemistry, Analytic, General Chemistry
Cover of the book Annual Reports in Computational Chemistry by David A. Dixon, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: David A. Dixon ISBN: 9780444639448
Publisher: Elsevier Science Publication: August 24, 2017
Imprint: Elsevier Language: English
Author: David A. Dixon
ISBN: 9780444639448
Publisher: Elsevier Science
Publication: August 24, 2017
Imprint: Elsevier
Language: English

Annual Reports in Computational Chemistry, Volume 13 provides timely and critical reviews of important topics in computational chemistry. Topics in this new release include chapters on the Quantum Chemical Model for Molecular Properties and Processes at the Extreme High Pressure, a section on Interpreting Bonding and Spectra with Correlated, One-Electron Concepts from Electron Propagator Theory, Benchmark databases of intermolecular interaction energies: design, construction, and significance, Gaussian Accelerated Molecular Dynamics: Theory, Implementation and Applications, and Dissociation in Binary Acid/Base Clusters: An Examination of Inconsistencies Introduced into the Many-Body Expansion by Naive Fragmentation Schemes.

Topics covered in this series include quantum chemistry, molecular mechanics, force fields, chemical education, and applications in academic and industrial settings. Focusing on the most recent literature and advances in the field, each article covers a specific topic of importance to computational chemists.

  • Includes timely discussions on quantum chemistry and molecular mechanics
  • Covers force fields, chemical education and more
  • Presents the latest in chemical education and applications in both academic and industrial settings
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Annual Reports in Computational Chemistry, Volume 13 provides timely and critical reviews of important topics in computational chemistry. Topics in this new release include chapters on the Quantum Chemical Model for Molecular Properties and Processes at the Extreme High Pressure, a section on Interpreting Bonding and Spectra with Correlated, One-Electron Concepts from Electron Propagator Theory, Benchmark databases of intermolecular interaction energies: design, construction, and significance, Gaussian Accelerated Molecular Dynamics: Theory, Implementation and Applications, and Dissociation in Binary Acid/Base Clusters: An Examination of Inconsistencies Introduced into the Many-Body Expansion by Naive Fragmentation Schemes.

Topics covered in this series include quantum chemistry, molecular mechanics, force fields, chemical education, and applications in academic and industrial settings. Focusing on the most recent literature and advances in the field, each article covers a specific topic of importance to computational chemists.

More books from Elsevier Science

Cover of the book Glaciotectonism by David A. Dixon
Cover of the book The Organic Chemistry of Drug Design and Drug Action by David A. Dixon
Cover of the book Biogeochemistry of Marine Dissolved Organic Matter by David A. Dixon
Cover of the book Sport and the Brain: The Science of Preparing, Enduring and Winning, Part A by David A. Dixon
Cover of the book Encyclopedia of Marine Mammals by David A. Dixon
Cover of the book Occupancy Estimation and Modeling by David A. Dixon
Cover of the book The Flaviviruses: Detection, Diagnosis and Vaccine Development by David A. Dixon
Cover of the book Analog Circuit Design Volume Three by David A. Dixon
Cover of the book Microsatellites as Research Tools by David A. Dixon
Cover of the book Fluorescence-Based Biosensors by David A. Dixon
Cover of the book Computational Non-coding RNA Biology by David A. Dixon
Cover of the book Profiles of Drug Substances, Excipients and Related Methodology by David A. Dixon
Cover of the book e-Design by David A. Dixon
Cover of the book Radiative Heat Transfer by David A. Dixon
Cover of the book Deep Learning for Medical Image Analysis by David A. Dixon
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy