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Molecular Networking
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Molecular Networking : Statistical Mechanics in the Age of AI and Machine Learning

Book Details

Format Paperback / Softback
ISBN-10 1032670819
ISBN-13 9781032670812
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date May 5th, 2025
Print length 236 Pages
Weight 460 grams
Ksh 9,350.00
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The book builds on an analogy between social groups and assemblies of molecules to introduce the concepts of statistical mechanics, machine learning and data science. Applications to systems at the cutting-edge of research e.g. environmental and energy applications, will be used.

The book builds on the analogy between social groups and assemblies of molecules to introduce the concepts of statistical mechanics, machine learning and data science. Applying a data analytics approach to molecular systems, we show how individual (molecular) features and interactions between molecules, or "communication" processes, allow for the prediction of properties and collective behavior of molecular systems - just as polling and social networking shed light on the behavior of social groups. Applications to systems at the cutting-edge of research for biological, environmental, and energy applications are also presented.

Key features:

  • Draws on a data analytics approach of molecular systems
  • Covers hot topics such as artificial intelligence and machine learning of molecular trends
  • Contains applications to systems at the cutting-edge of research for biological, environmental and energy applications
  • Discusses molecular simulation and links with other important, emerging techniques and trends in computational sciences and society
  • Authors have a well-established track record and reputation in the field

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