Download Artificial Intelligence in Catalysis: Experimental and Computational Methodologies 2025
Artificial Intelligence in Catalysis: Experimental and Computational Methodologies book pdf download, enables researchers and professionals to leverage machine learning tools to optimize catalyst design and chemical processes. 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.
- 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
eBook details
- Author (s): Valentine P. Ananikov, Mikhail V. Polynski
- Publication year: 2025
- Publisher: Wiley-VCH
- Language: English
- ISBN: B0FGKYX2ZR, 9783527847051, 3527353852, 9783527353859
- Pages: 268
- Book format: PDF
- File size: 5 MB
