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AI-Guided Design and Property Prediction for Zeoli tes and Nanoporous Materials (Hardcover)
Loot Price: R4,863
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AI-Guided Design and Property Prediction for Zeoli tes and Nanoporous Materials (Hardcover)
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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.
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