Dataset underpinning "Steric parameterization delivers a reciprocally predictive model for substrate reactivity and catalyst turnover in Rh-catalyzed diyne-alkyne [2+2+2] cycloadditions"

Allan John Bell Watson (Creator)

Dataset

Date made available	24 Feb 2023
Publisher	University of St Andrews

Contact

[email protected]

DOI
10.17630/bf157aaa-a79b-457c-976d-d273313b0e7a

Access Dataset

Dataset.zip
File: application/zip, 179 MB
Type: Dataset
Licence: CC BY

1 Finished
1 Active

EaSI-CAT - IBioIC Industry Contribution: EaSI-CAT - IBioIC Industry Contribution
Smith, A. D. (PI)
IBioIC
1/08/21 → 30/09/27
Project: Standard
A biochemical boron tagging stategy: A biochemical boron tagging strategy for biomolecule visualisation and profiling
Watson, A. J. B. (PI)
The Leverhulme Trust
1/09/22 → 31/08/24
Project: Fellowship

1 Article

Steric parameterization delivers a reciprocally predictive model for substrate reactivity and catalyst turnover in Rh-catalyzed diyne-alkyne [2+2+2] cycloadditions
Halford-McGuff, J., Slawin, A. M. Z. & Watson, A. J. B., 17 Mar 2023, In: ACS Catalysis. 13, 6, p. 3463–3470 8 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
5 Citations (Scopus)

6 Downloads (Pure)

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