
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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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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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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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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This book describes the use of NMR spectroscopy for dealing with problems of small organic molecule structural elucidation. It features a significant amount of vital chemical shift and coupling information but more importantly, it presents sound principles for the selection of the techniques
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Provides a theoretical introduction to graduate scientists and industrial researchers towards the understanding of the assignment of 1H NMR spectra Discusses, and includes on enclosed CD, one of the best, the fastest and most applicable pieces of NMR prediction software available Allows students of
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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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Following its well-received predecessor, this book offers an essential guide to chemists for understanding fluorine in spectroscopy. With over 1000 compounds and 100 spectra, the second edition adds new data – featuring fluorine effects on nitrogen NMR, chemical shifts, and coupling constants. •
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