Contemporary computer assisted approaches to molecular structure elucidation /
Computer Assisted Structure Elucidation (CASE) systems are powerful software applications capable of outperforming human data interpretation in terms of both speed and reliability. They combine software algorithms with tools for molecular structure elucidation using spectroscopic data. This book des...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Cambridge :
Royal Society of Chemistry,
[2011]
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| Series: | New developments in NMR ;
no. 1. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | Computer Assisted Structure Elucidation (CASE) systems are powerful software applications capable of outperforming human data interpretation in terms of both speed and reliability. They combine software algorithms with tools for molecular structure elucidation using spectroscopic data. This book describes the principles on which CASE systems are based and concisely explains the algorithmic concepts behind the programs. It puts the technique in the context of its origins and describes the challenges that have been overcome to produce modern CASE systems. It uses the authors' software development experience to discuss the present state-of-the-art and explains how the synergistic marrying of man and machine can provide superior results. Readers will gain a firm grounding in the fundamentals of CASE, an understanding of the challenges associated with algorithms, and an appreciation of the technologies underlying NMR prediction and structure verification. Scientists who have never used CASE systems before will find all the information necessary to master this new and very effective approach. Those with some experience will benefit from details on the latest developments. |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (xxii, 482 pages) : illustrations (some color) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 1849734577 9781849734578 |
| ISSN: | 2044-253X ; |
| DOI: | 10.1039/9781849734578 |