A data-driven approach to the generalization of free radical polymerization kinetic models <i>via</i> automated flow chemistry
Bayesian optimization drives kinetic model evolution in chain transfer polymerization using inline NMR and online GPC in a flow setup by iterative prediction of new experiments to add to a database.
Authors
- Vianna F. Jafari (ORCID: https://orcid.org/0000-0003-1308-1754)
- Tanja Junkers (ORCID: https://orcid.org/0000-0002-6825-5777)
- Ali Asghar (ORCID: https://orcid.org/0009-0009-3746-2931)
- Bo Zhang (ORCID: https://orcid.org/0000-0002-7853-979X)
Institutions
- Monash University (AU)
Publication Details
- Journal
- Reaction Chemistry & Engineering
- Published
- 2025-09-18
- DOI
- https://doi.org/10.1039/d5re00264h
- Citations
- 1
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.52