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Knowledge-Based Expert Systems in Chemistry

Knowledge-Based Expert Systems in Chemistry


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International Edition


About the Book

There have been significant developments in the use of knowledge-based expert systems in chemistry since the first edition of this book was published in 2009. This new edition has been thoroughly revised and updated to reflect the advances. Written by a pioneer in the field, this book provides an essential reference for anyone interested in the uses of artificial intelligence for decision making in chemistry.
About the Author: The author studied chemistry at the University of Manchester before working on the synthesis of novel herbicides and fungicides for Fisons Ltd at Chesterford Park Research Station near Saffron Walden. His PhD at the University of Surrey was on chemical synthesis. He took an interest in knowledge-based computer systems and became Head of Chemical Information and Computing for Schering Agrochemicals Ltd. He was one of the founders of Lhasa Limited, a not-for-profit company specialising in knowledge-based expert systems in chemistry including the widely-used Derek, Meteor, and Zeneth systems for predicting chemical toxicity, metabolism, and chemical degradation. Although semi-retired, he continues to contribute to research and development work at Lhasa Limited in his role as Scientific Advisor and is working in a project on synthetic accessibility led by scientists at the US Niational Institutes of Health. He developed and maintains software for chemical hazard classification and chemical safety data sheet management, Harmoneus and Prometheus, which are supplied by Hibiscus plc. He has published over eighty scientfic papers, posters and book chapters. His hobbies include climbing and caving and he has published articles about international caving expeditions that he has taken part in.


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Product Details
  • ISBN-13: 9781788014717
  • Publisher: Royal Society of Chemistry
  • Publisher Imprint: Royal Society of Chemistry
  • Edition: New edition
  • Language: English
  • Returnable: Y
  • Spine Width: 20 mm
  • Weight: 639 gr
  • ISBN-10: 1788014715
  • Publisher Date: 15 Feb 2019
  • Binding: Hardback
  • Height: 236 mm
  • No of Pages: 284
  • Series Title: Theoretical and Computational Chemistry
  • Sub Title: Artificial Intelligence in Decision Making
  • Width: 163 mm


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