eBook - AI-Guided Design and Property Prediction for Zeolites and Nanoporous Materials
Available Exclusively as an eBook | Part of the AI Collection | Only for Institutional Purchase | Publication Year: 2023
Description
AI-Guided Design and Property Prediction for Zeolites and Nanoporous Materials presents a comprehensive compilation of recent advances in AI, computational and synthetic chemistry applied to nanoporous materials. It covers synthesis strategies, database construction, computational methods, and AI algorithms for discovering new zeolites and frameworks, targeting researchers and industry professionals in materials chemistry.
Table of Contents
1. Introduction to AI-Guided Design for Nanoporous Materials
2. Strategies for Synthesizing Nanoporous Materials
3. Construction of Materials Databases
4. Computational Methods for Material Generation
5. AI and Machine Learning Algorithms for Material Discovery
6. Applications of AI in Materials Chemistry
7. Case Studies and Recent Developments in Zeolites and Nanoporous Materials 8. Future Directions in AI-guided Zeolite and Nanoporous Materials Research