Actions for AI-guided design and property prediction for zeolites and nanoporous materials

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AI-guided design and property prediction for zeolites and nanoporous materials / edited by German Sastre, Frits Daeyaert

Published
Hoboken, NJ : John Wiley and Sons, Inc., 2023.
Copyright Date
©2023
Physical Description
1 online resource (xxvi, 431 pages) : illustrations (chiefly color)
Additional Creators
Sastre, German and Daeyaert, Frederik F.
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Contents
The confluence of organo-cations, inorganic species, and molecular modeling on the discovery of new zeolite structures and compositions / Christopher M. Lew, Dan Xie, Joel E. Schmidt, Saleh Elomari, Tracy M. Davis, and Stacey I. Zones -- Efficient data utilization in training machine learning models for nanoporous materials screening / Jiham Kim.
Subject(s)
ISBN
9781119819783 electronic book
1119819784 electronic book
9781119819769 electronic book
1119819768 electronic book
9781119819776 electronic book
1119819776 electronic book
9781119819752 hardcover
Bibliography Note
Includes bibliographical references and index.
View MARC record | catkey: 41053486