Projects funded by the NCN
Artificial Intelligence meets Asymmetric Catalysis: a new pathway for catalyst optimization and discovery
2021/41/B/ST4/01617
Keywords:
AI asymmetric catalysis zinc iron stereoselectivity
Descriptors:
- ST4_008:
- ST4_014:
- ST4_004:
Panel:
ST4 - Chemistry: physical chemistry/chemical physics, theoretical chemistry, analytical chemistry, inorganic chemistry, organic chemistry, method development
Host institution :
Instytut Chemii Organicznej Polskiej Akademii Nauk
woj. mazowieckie
Principal investigator (from the host institution):
Number of co-investigators in the project: 6
Call: OPUS 21 - announced on 2021-03-15
Amount awarded: 2 204 200 PLN
Project start date (Y-m-d): 2022-01-13
Project end date (Y-m-d): 2026-07-12
Project duration:: 54 months (the same as in the proposal)
Project status: Pending project
Project description
Download the project description in a pdf file
Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.
Information in the final report
- Publication in academic press/journals (1)
- Machine Learning Algorithm Guides Catalyst Choices for Magnesium-Catalyzed Asymmetric ReactionsAuthors:P. Baczewska, M. Kulczykowski, B. Zambroń, J. Jaszczewska-Adamczak, Z. Pakulski, R. Roszak, B. A. Grzybowski, J. MłynarskiAcademic press:Angewandte Chemie Int. Ed. (rok: 2024, tom: 63, strony: e202318487), Wydawca: Wiley-VCHStatus:PublishedDOI:10.1002/anie.202318487 - link to the publication