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Artificial Intelligence in Catalysis : Experimental and Computational Methodologies

By: (Edited by) Mikhail V. Polynski , (Edited by) Valentine P. Ananikov

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Ksh 28,800.00

Format: Hardback or Cased Book

ISBN-10: 3527353852

ISBN-13: 9783527353859

Publisher: Wiley-VCH Verlag GmbH

Imprint: Blackwell Verlag GmbH

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Aug 27th, 2025

Print length: 272 Pages

Product Classification: Organometallic chemistry
Catalysis

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Enables researchers and professionals to leverage machine learning tools to optimize catalyst design and chemical processes Artificial Intelligence in Catalysis delivers a state-of-the-art overview of artificial intelligence methodologies applied in catalysis. Divided into three parts, it covers the latest advancements and trends for catalyst discovery and characterization, reaction predictions, and process optimization using machine learning, quantum chemistry, and cheminformatics. Written by an international team of experts in the field, with each chapter combining experimental and computational knowledge, Artificial Intelligence in Catalysis includes information on: Artificial intelligence techniques for chemical reaction monitoring and structural analysisApplication of artificial neural networks in the analysis of electron microscopy dataConstruction of training datasets for chemical reactivity prediction through computational meansCatalyst optimization and discovery using machine learning modelsPredicting selectivity in asymmetric catalysis with machine learning Artificial Intelligence in Catalysis is a practical guide for researchers in academia and industry interested in developing new catalysts, improving organic synthesis, and minimizing waste and energy use.

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