Cited by 35Machine Learning in Materials ScienceOrganometallic Complex Synthesis and CatalysisNeural Networks and Applications

Supervised machine learning for prediction of zirconocene-catalyzed α-olefin polymerization

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Rizkin, Benjamin A., Hartman, Ryan L.·2019·Chemical Engineering Science

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Crossref · 10.1016/j.ces.2019.115224

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87 of 87 references verified0 citation errors · 0 not checkable

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Authors
Rizkin, B. A., & Hartman, R. L.
Affiliations
New York University (US)
Corresponding author
Hartman, Ryan L.
Venue
Chemical Engineering Science
Publisher
Elsevier BV
Published
2019-12
Volume
210
Pages
115224
ISSN
0009-2509 (ISSN-L)
OpenAlex
W2972451196
Cited by
35
References
87
Citations by year
2026: 3 · 2025: 4 · 2024: 3 · 2023: 5 · 2022: 4 · 2021: 6 · 2020: 10
FWCI
1.81
Type
journal article
Language
en
Open access
Locations
Chemical Engineering Science (acceptedVersion)
Funders
National Science Foundation
Topics
  • Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
  • Physical Sciences › Chemistry › Organic Chemistry › Organometallic Complex Synthesis and Catalysis
  • Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
Keywords
zirconocene catalysts, α-olefin polymerization, metallocene catalysis, artificial neural networks, polydispersity, adiabatic temperature, polymerization kinetics, molecular weight distribution

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