A Comprehensive Discovery Platform for Organophosphorus Ligands for Catalysis
University of Utah · Technische Universität Berlin · +6 more institutions
Abstract
The design of molecular catalysts typically involves reconciling multiple conflicting property requirements, largely relying on human intuition and local structural searches. However, the vast number of potential catalysts requires pruning of the candidate space by efficient property prediction with quantitative structure–property relationships. Data-driven workflows embedded in a library of potential catalysts can be used to build predictive models for catalyst performance and serve as a blueprint for novel catalyst designs. Herein we introduce kraken, a discovery platform covering monodentate organophosphorus(III) ligands providing comprehensive physicochemical descriptors based on representative conformer…
Citation impact
- FWCI
- 21.72
- Percentile
- 100%
- References
- 62
Authors
11- TGTobias GenschCorresponding
University of Utah, Technische Universität Berlin
- GDGabriel dos Passos Gomes
University of Toronto, Vector Institute
- PFPascal Friederich
Karlsruhe Institute of Technology, University of Toronto
- EPEllyn Peters
University of Utah
- TGThéophile Gaudin
University of Toronto, IBM Research - Zurich
Topics & keywords
- Chemistry
- Combinatorial chemistry
- Nanotechnology
Funding
- VDVerband der Chemischen Industrie
- DFDeutsche ForschungsgemeinschaftAward: EXC 2008/1 390540038
- CRCanada Research Chairs
- DADeutsche Akademie der Naturforscher Leopoldina - Nationale Akademie der WissenschaftenAward: LPDS 201718
- DADefense Advanced Research Projects AgencyAward: HR00111920027
- NSNatural Sciences and Engineering Research Council of Canada
- NRNatural Resources Canada
- FDFonds de recherche du Québec – Nature et technologies