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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Sastre, German (Editor ), Daeyaert, Frederik F. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, NJ : John Wiley and Sons, Inc., 2023.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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.