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Basis sets in computational chemistry
~
Perlt, Eva.
Basis sets in computational chemistry
Record Type:
Electronic resources : Monograph/item
Title/Author:
Basis sets in computational chemistryedited by Eva Perlt.
other author:
Perlt, Eva.
Published:
Cham :Springer International Publishing :2021.
Description:
vii, 255 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Computational chemistry.
Online resource:
https://doi.org/10.1007/978-3-030-67262-1
ISBN:
9783030672621$q(electronic bk.)
Basis sets in computational chemistry
Basis sets in computational chemistry
[electronic resource] /edited by Eva Perlt. - Cham :Springer International Publishing :2021. - vii, 255 p. :ill. (some col.), digital ;24 cm. - Lecture notes in chemistry,v.1070342-4901 ;. - Lecture notes in chemistry ;v.78..
An Introduction and Overview of Basis Sets for Molecular and Solid-state Calculations -- Slater-type Orbitals -- Local Orbitals in Quantum Chemistry -- An introduction to discretization error analysis for computational chemists -- Basis Sets for Correlated Methods -- Gaussian Basis Sets for Solid State Calculations -- Basis Sets for Heavy Atoms -- Adaptable Gaussian Bases for Quantum Dynamics of the Nuclei.
This book addresses the construction and application of the major types of basis sets for computational chemistry calculations. In addition to a general introduction, it includes mathematical basics and a discussion of errors arising from incomplete or inappropriate basis sets. The different chapters introduce local orbitals and orbital localization as well as Slater-type orbitals and review basis sets for special applications, such as those for correlated methods, solid-state calculations, heavy atoms and time-dependent adaptable Gaussian bases for quantum dynamics simulations. This detailed review of the purpose of basis sets, their design, applications, possible problems and available solutions provides graduate students and beginning researchers with information not easily obtained from the available textbooks and offers valuable supporting material for any quantum chemistry or computational chemistry course at the graduate and/or undergraduate level. This book is also useful as a guide for researchers who are new to computational chemistry but are willing to extend their research tools by applying such methods.
ISBN: 9783030672621$q(electronic bk.)
Standard No.: 10.1007/978-3-030-67262-1doiSubjects--Topical Terms:
881158
Computational chemistry.
LC Class. No.: QD39.3.E46 / B37 2021
Dewey Class. No.: 542.85
Basis sets in computational chemistry
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An Introduction and Overview of Basis Sets for Molecular and Solid-state Calculations -- Slater-type Orbitals -- Local Orbitals in Quantum Chemistry -- An introduction to discretization error analysis for computational chemists -- Basis Sets for Correlated Methods -- Gaussian Basis Sets for Solid State Calculations -- Basis Sets for Heavy Atoms -- Adaptable Gaussian Bases for Quantum Dynamics of the Nuclei.
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This book addresses the construction and application of the major types of basis sets for computational chemistry calculations. In addition to a general introduction, it includes mathematical basics and a discussion of errors arising from incomplete or inappropriate basis sets. The different chapters introduce local orbitals and orbital localization as well as Slater-type orbitals and review basis sets for special applications, such as those for correlated methods, solid-state calculations, heavy atoms and time-dependent adaptable Gaussian bases for quantum dynamics simulations. This detailed review of the purpose of basis sets, their design, applications, possible problems and available solutions provides graduate students and beginning researchers with information not easily obtained from the available textbooks and offers valuable supporting material for any quantum chemistry or computational chemistry course at the graduate and/or undergraduate level. This book is also useful as a guide for researchers who are new to computational chemistry but are willing to extend their research tools by applying such methods.
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Chemistry and Materials Science (SpringerNature-11644)
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