Supervised machine learning for prediction of zirconocene-catalyzed α-olefin polymerization
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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
- bronze
- doi.org
- Licence
- 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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