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The derivation of structural information from spectroscopic data is now an integral part of organic chemistry courses at all Universities. A critical part of any such course is a suitable set of problems to develop the students’ understanding of how organic structures are determined from spectra.
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The derivation of structural information from spectroscopic data is now an integral part of organic chemistry courses at all Universities. Over recent years, a number of powerful two-dimensional NMR techniques (e.g. HSQC, HMBC, TOCSY, COSY and NOESY) have been developed and these have vastly
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Organic Structures from Spectra, Fourth Edition consists of a carefully selected set of over 300 structural problems involving the use of all the major spectroscopic techniques. The problems are graded to develop and consolidate the student’s understanding of Organic Spectroscopy, with the
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The text Organic Structures from 2D NMR Spectra contains a graded set of structural problems employing 2D-NMR spectroscopy. The Instructors Guide and Solutions Manual to Organic Structures from 2D NMR Spectra is a set of step-by-step worked solutions to every problem in Organic Structures from 2D
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Interpretation of IR and Raman Spectra provides the fundamentals of interpreting IR and Raman spectra of complex molecules primarily organic molecules. Examinations of theory provide a basis for predicting functional group frequency location in new molecular structures. Generously enriched with
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Spectroscopy is used in physical and analytical chemistry for the identification of substances through the spectrum emitted from or absorbed by them. The derivation of structural information from spectroscopic data is now an integral part of many courses in chemistry and related subjects at most
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A comprehensive compilation of the available experimental and theoretical vibrational data for organometallic compounds and its role in evaluating the structures, bonding, and properties of these key compounds This unique book offers a thorough review of the literature dealing with vibrational data
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For the first time, in this book, a new view of metal-organic frameworks (MOFs) has been presented: MOFs with heterogeneous structures. In this field, there are different levels of understanding we need to consider. So, the principal aspects of heterogeneity that produce complexity in MOFs, their
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Nowadays, tensors play a central role for the representation, mining, analysis, and fusion of multidimensional, multimodal, and heterogeneous big data in numerous fields. This set on Matrices and Tensors in Signal Processing aims at giving a self-contained and comprehensive presentation of various
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This book focuses on the exciting topic on self-organized organic semiconductors – from materials to device applications. It offers up-to-date and accessible coverage of self-organized semiconductors for organic chemistry, polymer science, liquid crystals, materials science, material engineering,
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