A New-Generation Density Functional

Towards Chemical Accuracy for Chemistry of Main Group Elements

Nonfiction, Science & Nature, Science, Chemistry, Physical & Theoretical, Physics, Quantum Theory
Cover of the book A New-Generation Density Functional by Xin Xu, Igor Ying Zhang, Springer Berlin Heidelberg
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Author: Xin Xu, Igor Ying Zhang ISBN: 9783642404214
Publisher: Springer Berlin Heidelberg Publication: November 19, 2013
Imprint: Springer Language: English
Author: Xin Xu, Igor Ying Zhang
ISBN: 9783642404214
Publisher: Springer Berlin Heidelberg
Publication: November 19, 2013
Imprint: Springer
Language: English

A New-Generation Density Functional: Towards Chemical Accuracy for Chemistry of Main Group Elements covers the most recent progress in the development of a new generation of density functional theory (DFT) for accurate descriptions of thermochemistry, thermochemical kinetics, and nonbonded interactions of main group molecules. In this book, the authors present the doubly hybrid density functionals (DHDFs), which dramatically improve the accuracy for predictions of critical properties by including the role of the virtual (unoccupied) orbitals. The authors not only discuss the theoretical bases of three classes of DHDFs but also demonstrate their performance using some well-established benchmarking data sets.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

A New-Generation Density Functional: Towards Chemical Accuracy for Chemistry of Main Group Elements covers the most recent progress in the development of a new generation of density functional theory (DFT) for accurate descriptions of thermochemistry, thermochemical kinetics, and nonbonded interactions of main group molecules. In this book, the authors present the doubly hybrid density functionals (DHDFs), which dramatically improve the accuracy for predictions of critical properties by including the role of the virtual (unoccupied) orbitals. The authors not only discuss the theoretical bases of three classes of DHDFs but also demonstrate their performance using some well-established benchmarking data sets.

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