Diamagnetic Susceptibility and Anisotropy of Organic Compounds

Diamagnetic Susceptibility and Anisotropy of Organic Compounds

EnglishHardback
Kumar Mahendra
Springer, Berlin
EAN: 9783540447344
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Detailed information

The present volume II/27 of Landolt-Bornstein series is a completely revised and extended edition of volume II/16. The present volume includes the extensive literature of diamagnetic susceptibility and magnetic anisotropy based on the literature survey of chemical abstracts upto 2005. The symbols and terminology relating to diamagnetic susceptibility and magnetic anisotropy with their explanations have also been presented. The present volume II/27 has been organized into three subvolumes: Subvolume II/27A : Diamagnetic susceptibility and magnetic anisotropy of inorganic and organo-metallic compounds. Subvolume II/27B : Diamagnetic susceptibility of organic compounds. Subvolume II/27C : Diamagnetic susceptibility and magnetic anisotropy of organic compounds. The present subvolume II/27C includes diamagnetic susceptibility and magnetic anisotropy of organic compounds. The calculated values of diamagnetic susceptibility of organic compounds have also been presented alongwith their experimental values. The calculated values of diamagnetic susceptibility have been calculated with the use of structural parameters in structural formula by using different theoretical methods available in the literature. The theoretical methods have been presented in subvolume II/27A alongwith the experimental methods. The organic compounds with their structural formula have been arranged by gross formula using Hill’s system. The values of experimental diamagnetic susceptibility have been expressed in both cgs and SI units.
EAN 9783540447344
ISBN 3540447342
Binding Hardback
Publisher Springer, Berlin
Publication date January 24, 2008
Pages 204
Language English
Dimensions 270 x 193
Country Germany
Readership Postgraduate, Research & Scholarly
Authors Gupta Rajni; Kumar Mahendra
Illustrations VIII, 204 p.
Series Landolt-Börnstein: Numerical Data and Functional Relationships in Science and Technology - New Series