Journal
SCIENCE
Volume 374, Issue 6565, Pages 301-+Publisher
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.abj4213
Keywords
-
Categories
Funding
- NSF CCI Center for Computer Assisted Synthesis [CHE-1925607]
Ask authors/readers for more resources
In this study, a classification workflow using monodentate phosphine ligands was developed to identify reactivity cliffs in 11 Ni- and Pd-catalyzed cross-coupling datasets. The minimum percent buried volume descriptor was found to be a physically meaningful and predictive representation of ligand structure in catalysis.
Chemists often use statistical analysis of reaction data with molecular descriptors to identify structurere-activity relationships, which can enable prediction and mechanistic understanding. In this study, we developed a broadly applicable and quantitative classification workflow that identifies reactivity cliffs in 11 Ni- and Pd-catalyzed cross-coupling datasets using monodentate phosphine ligands. A distinctive ligand steric descriptor, minimum percent buried volume [%V-bur (min)], is found to divide these datasets into active and inactive regions at a similar threshold value. Organometallic studies demonstrate that this threshold corresponds to the binary outcome of bisligated versus monoligated metal and that %V-bur (min) is a physically meaningful and predictive representation of ligand structure in catalysis.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available