The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Rapid Assessment of the Reaction‐Condition‐Based Sensitivity of Chemical Transformations
Abstract
A systematic, user‐friendly assessment tool that delivers a clear overview of the sensitivity of reactions to key parameters is highly desirable. Herein, the development of such a method is described. The intuitive, standardized presentation of the results in a radar diagram enables the sensitivity of a protocol to be rapidly assessed. This method was applied to five different visible‐light‐mediated photochemical reactions, and the results were correlated to the underlying mechanism. Ultimately, we believe that this assessment will help to increase the uptake of new synthetic methods and their reproducibility.
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Cites
Predicting reaction performance in C–N cross-coupling using machine learning
Ahneman, D. T., Estrada, J. G., Lin, S., Dreher, S. D., & Doyle, A. G. (2018) · Science · doi:10.1126/science.aar5169 · Cited by 1,058
Cited by
C–H Activation: Toward Sustainability and Applications
Dalton, T., Faber, T., & Glorius, F. (2021) · ACS Central Science · doi:10.1021/acscentsci.0c01413 · Cited by 833
Self-citationIntermolecular [2π+2σ]-photocycloaddition enabled by triplet energy transfer
Kleinmans, R., Pinkert, T., Dutta, S., Paulisch, T. O., Keum, H., Daniliuc, C. G., & Glorius, F. (2022) · Nature · doi:10.1038/s41586-022-04636-x · Cited by 455
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Metadata
- Authors
- Pitzer, L., Schäfers, F., & Glorius, F.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2019-05-16
- Volume
- 58
- Issue
- 25
- Pages
- 8572-8576
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2945258205
- Cited by
- 372
- References
- 1
- FWCI
- 17.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- Pitzer, L., Schäfers, F., & Glorius, F. (2019). Rapid Assessment of the Reaction‐Condition‐Based Sensitivity of Chemical Transformations. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201901935
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