Quantum Computational Chemistry Modelling and Calculation for Functional Materials

This book is for both theoretical and experimental chemists to begin quantum molecular orbital calculations for functional materials. First, the theoretical background including the molecular orbital calculation method and modelling are explained. This is followed by an explanation of how to do mode...

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Bibliographic Details
Main Author: Onishi, Taku
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2018, 2018
Edition:1st ed. 2018
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Quantum Computational Chemistry  |h Elektronische Ressource  |b Modelling and Calculation for Functional Materials  |c by Taku Onishi 
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260 |a Singapore  |b Springer Nature Singapore  |c 2018, 2018 
300 |a XIII, 290 p. 171 illus., 147 illus. in color  |b online resource 
505 0 |a Quantum Theory -- Atomic Orbital -- Hartree-Fock method -- Basis function -- Orbital analysis -- Electron correlation -- Atomic orbital calculation -- Molecular orbital calculation of diatomic molecule -- Model construction -- Superexchange interaction -- Ligand bonding effect -- Photocatalyst -- Secondary battery: Lithium ion and sodium ion conductions -- Solid Oxide Fuel Cell: Oxide ion and proton conductions -- Helium Chemistry -- Summary and Future.  
653 |a Chemistry, Physical and theoretical 
653 |a Catalysis 
653 |a Theoretical Chemistry 
653 |a Chemistry, Organic 
653 |a Electrochemistry 
653 |a Organic Chemistry 
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520 |a This book is for both theoretical and experimental chemists to begin quantum molecular orbital calculations for functional materials. First, the theoretical background including the molecular orbital calculation method and modelling are explained. This is followed by an explanation of how to do modelling and calculation and to interpret calculated molecular orbitals, with many research examples in the field of batteries, catalysts, organic molecules and biomolecules. Finally, future trends in computational chemistry are introduced.