1Numerical Representations of Chemical Data for Structure‐Based Machine Learning (Englisch)
- Neue Suche nach: Na, Gyoung S.
- Neue Suche nach: Sastre, German
- Neue Suche nach: Daeyaert, Frits
- Neue Suche nach: Na, Gyoung S.
In:
AI‐Guided Design and Property Prediction for Zeolites and Nanoporous Materials
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173-200
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2023
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ISBN:
- Aufsatz/Kapitel (Buch) / Elektronische Ressource
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Titel:1Numerical Representations of Chemical Data for Structure‐Based Machine Learning
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Beteiligte:
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Erschienen in:
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Verlag:
- Neue Suche nach: John Wiley & Sons, Ltd
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Erscheinungsort:Chichester, UK
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Erscheinungsdatum:24.01.2023
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Format / Umfang:28 pages
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ISBN:
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DOI:
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Medientyp:Aufsatz/Kapitel (Buch)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis E-Book
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
- 1
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1The Confluence of Organo‐Cations, Inorganic Species, and Molecular Modeling on the Discovery of New Zeolite Structures and CompositionsLew, Christopher M. / Xie, Dan / Schmidt, Joel E. / Elomari, Saleh / Davis, Tracy M. / Zones, Stacey I. et al. | 2023
- 33
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1 De Novo Design of Organic Structure Directing Agents for the Synthesis of ZeolitesDaeyaert, Frits / Deem, Michael et al. | 2023
- 61
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1Machine Learning Search for Suitable Structure Directing Agents for the Synthesis of Beta ( BEA ) Zeolite Using Molecular Topology and Monte Carlo TechniquesGálvez‐Llompart, María / Sastre, German et al. | 2023
- 81
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1Generating, Managing, and Mining Big Data in Zeolite SimulationsSchwalbe‐Koda and, Daniel / Gómez‐Bombarelli, Rafael et al. | 2023
- 113
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1Co‐templating in the Designed Synthesis of Small‐pore Zeolite CatalystsChitac, Ruxandra G. / Shannon, Mervyn D. / Cox, Paul A. / Mattock, James / Wright, Paul A. / Turrina, Alessandro et al. | 2023
- 145
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1Computer Generation of Hypothetical ZeolitesArgente, Estefania / Valero, Soledad / Misturini, Alechania / Treacy, Michael M.J. / Baumes, Laurent / Sastre, German et al. | 2023
- 173
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1Numerical Representations of Chemical Data for Structure‐Based Machine LearningNa, Gyoung S. et al. | 2023
- 201
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1Extracting Metal‐Organic Frameworks Data from the Cambridge Structural DatabaseLi, Aurelia / Bueno‐Perez, Rocio / Fairen‐Jimenez, David et al. | 2023
- 233
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1Data‐Driven Approach for Rational Synthesis of Zeolites and Other Nanoporous MaterialsChaikittisilp, Watcharop et al. | 2023
- 251
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Porous Molecular MaterialsBennett, Steven / Jelfs, Kim E. et al. | 2023
- 283
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Machine Learning‐Aided Discovery of Nanoporous Materials for Energy‐ and Environmental‐Related ApplicationsDatar, Archit / Lyu, Qiang / Lin, Li‐Chiang et al. | 2023
- 319
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Big Data Science in Nanoporous MaterialsHaranczyk, Maciej / Dico, Giulia Lo et al. | 2023
- 343
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Efficient Data Utilization in Training Machine Learning Models for Nanoporous Materials ScreeningGómez‐Gualdrón, Diego A. / Simon, Cory M. / Colón, Yamil J. et al. | 2023
- 377
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Machine Learning and Digital Manufacturing Approaches for Solid‐State Materials DevelopmentGlasby, Lawson T. / Whaites, Emily H. / Moghadam, Peyman Z. et al. | 2023
- 411
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Overview of AI in the Understanding and Design of Nanoporous MaterialsMoosavi, Seyed Mohamad / Daeyaert, Frits / Deem, Michael W. / Sastre, German et al. | 2023
- 425
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Index| 2023
- i
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Frontmatter| 2023