High-throughput reaction discovery for Cs–Pb–Br nanocrystal synthesis
We developed a 16-channel flow reactor for high-throughput reaction screening, coupled with machine learning for product mapping and prediction.
Authors
- Richard L. Brutchey (ORCID: https://orcid.org/0000-0002-7781-5596)
- Noah Malmstadt (ORCID: https://orcid.org/0000-0002-1786-2614)
- Allison P. Forsberg (ORCID: https://orcid.org/0000-0002-8351-1011)
- Ricki Chairil (ORCID: https://orcid.org/0000-0001-7821-1658)
Institutions
- University of Southern California (US)
Publication Details
- Journal
- Reaction Chemistry & Engineering
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1039/d4re00491d
- Citations
- 2
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.23
Funders
- Chevron
- University of Southern California
- Viterbi School of Engineering, University of Southern California
- Basic Energy Sciences