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...
Clasificación: | Libro Electrónico |
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Otros Autores: | , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Hoboken, NJ :
John Wiley and Sons, Inc.,
2023.
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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.