Artificial Intelligence in Catalysis
eBook - PDF

Artificial Intelligence in Catalysis

Experimental and Computational Methodologies

  1. 273 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Artificial Intelligence in Catalysis

Experimental and Computational Methodologies

About this book

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 analysis
  • Application of artificial neural networks in the analysis of electron microscopy data
  • Construction of training datasets for chemical reactivity prediction through computational means
  • Catalyst optimization and discovery using machine learning models
  • Predicting 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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Yes, you can access Artificial Intelligence in Catalysis by Valentine P. Ananikov,Mikhail V. Polynski in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title Page
  3. Title Page
  4. Copyright
  5. Contents
  6. Preface: Shaping the Future of Catalysis Research with Artificial Intelligence
  7. Part I: Machine Learning Applications in Structural Analysis and Reaction Monitoring
  8. Part II: Quantum Chemical Methods Meet Machine Learning
  9. Part III: Catalyst Optimization and Discovery with Machine Learning
  10. Index
  11. EULA