Artificial Intelligence meets Asymmetric Catalysis: a new pathway for catalyst optimization and discovery
2021/41/B/ST4/01617
Keywords
Descriptors
- ST4_008: Chemia organiczna
- ST4_014: Kataliza
- ST4_004: Chemia teoretyczna i obliczeniowa
Panel
ST4 – Chemistry: physical chemistry/chemical physics, theoretical chemistry, analytical chemistry, inorganic chemistry, organic chemistry, method development
Host institution
Instytut Chemii Organicznej Polska Akademia Nauk
Voivodeship: 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
- 2022-01-13
- Project end date
- 2026-09-12
- Project duration
- 56 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 Reactions
- Authors:
- P. Baczewska, M. Kulczykowski, B. Zambroń, J. Jaszczewska-Adamczak, Z. Pakulski, R. Roszak, B. A. Grzybowski, J. Młynarski
- Academic press:
- Angewandte Chemie Int. Ed. (year: 2024, volume: 63, pages: e202318487), Publisher: Wiley-VCH
- Status:
- Published
- DOI:
- 10.1002/anie.202318487 – link to the publication