Structure Property Correlations For Nanoporous Materials
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Structure Property Correlations for Nanoporous Materials
Nanoporous materials are critical to various fields of research, including ion exchange, separation, catalysis, sensor applications, biological molecular isolation, and purification. In addition, they offer new opportunities in such areas as inclusion chemistry, guest-host synthesis, and molecular manipulations and reactions at the nanoscale. In St
Nanoporous Materials
In the past two decades, the field of nanoporous materials has undergone significant developments. As these materials possess high specific surface areas, well-defined pore sizes, and functional sites, they show a great diversity of applications such as molecular adsorption/storage and separation, sensing, catalysis, energy storage and conversion,
AI-Guided Design and Property Prediction for Zeolites and Nanoporous Materials
AI-Guided Design and Property Prediction for Zeolites and Nanoporous Materials A cohesive and insightful compilation of resources explaining the latest discoveries and methods in the field of nanoporous materials In Artificial Intelligence for Zeolites and Nanoporous Materials: Design, Synthesis and Properties Prediction a team of distinguished researchers delivers a robust compilation of the latest knowledge and most recent developments in computational chemistry, synthetic chemistry, and artificial intelligence as it applies to zeolites, porous molecular materials, covalent organic frameworks and metal-organic frameworks. The book presents a common language that unifies these fields of research and advances the discovery of new nanoporous materials. The editors have included resources that describe strategies to synthesize new nanoporous materials, construct databases of materials, structure directing agents, and synthesis conditions, and explain computational methods to generate new materials. They also offer material that discusses AI and machine learning algorithms, as well as other, similar approaches to the field. Readers will also find a comprehensive approach to artificial intelligence applied to and written in the language of materials chemistry, guiding the reader through the fundamental questions on how far computer algorithms and numerical representations can drive our search of new nanoporous materials for specific applications. Designed for academic researchers and industry professionals with an interest in synthetic nanoporous materials chemistry, Artificial Intelligence for Zeolites and Nanoporous Materials: Design, Synthesis and Properties Prediction will also earn a place in the libraries of professionals working in large energy, chemical, and biochemical companies with responsibilities related to the design of new nanoporous materials.