01856nam 2200493 450 991082995080332120231030141840.01-119-81978-41-119-81976-8(CKB)5580000000506442(MiAaPQ)EBC7185819(Au-PeEL)EBL7185819(OCoLC)1369671814(EXLCZ)99558000000050644220231030d2023 uy 0engurcnu||||||||txtrdacontentnrdamediacrdamediacrrdacarrierncrdacarrierAI-Guided Design and Property Prediction for Zeolites and Nanoporous Materials /edited by German Sastre and Frits DaeyaertFirst edition.Hoboken, NJ :John Wiley & Sons Ltd,[2023]©2023xxvi, 431 pages color illustrations ;27 cm1-119-81975-X Includes bibliographical references and index.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.MoleculesModelsArtificial intelligenceMoleculesModels.Artificial intelligence.539.12Sastre German1683075Daeyaert FritsMiAaPQMiAaPQMiAaPQBOOK9910829950803321AI-Guided Design and Property Prediction for Zeolites and Nanoporous Materials4053617UNINA