Steric Parameterization Delivers a Reciprocally Predictive Model for Substrate Reactivity and Catalyst Turnover in Rh-Catalyzed Diyne-Alkyne [2 + 2 + 2] Cycloadditions
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https://figshare.com/articles/dataset/Steric_Parameterization_Delivers_a_Reciprocally_Predictive_Model_for_Substrate_Reactivity_and_Catalyst_Turnover_in_Rh-Catalyzed_Diyne-Alkyne_2_2_2_Cycloadditions/22151414
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资源简介:
The Rh-catalyzed [2 + 2 + 2] cycloaddition of diynes
and alkynes
is a synthetically useful transformation that rapidly constructs complex
scaffolds and has been used extensively for >70 years. Despite
this
utility, substrate reactivity issues persist, which are not mechanistically
defined. Here, we provide a general predictive model for reactivity
and turnover for this reaction. Contrary to the proposed electronic
model, this is a predominately sterically driven process where productive
turnover is proportional to alkyne steric parameters. This model allows
for a priori prediction of catalyst loading, turnover, and reaction
yield based on a simple assessment of the steric parameter (e.g.,
A-value) of the alkyne. The relationship is reciprocal, allowing A-values
to be calculated from observed turnover.
创建时间:
2023-02-23



