2006
DOI: 10.1039/b603023h
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Multi-mechanism linear free energy relationships and isoequilibrium or isokinetic temperatures

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Cited by 12 publications
(4 citation statements)
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References 45 publications
(89 reference statements)
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“…Although comparison of the three studied processes has to be done with caution due to the different solvent and slightly different temperature range used in the analysis of the Py and DAD complexes, we observed a linear compensation effect when plotting values of Δ H ⧧ versus Δ S ⧧ for the three processes, which would further support the same type of mechanism along the series (see the SI for details) …”
Section: Results and Discussionmentioning
confidence: 43%
“…Although comparison of the three studied processes has to be done with caution due to the different solvent and slightly different temperature range used in the analysis of the Py and DAD complexes, we observed a linear compensation effect when plotting values of Δ H ⧧ versus Δ S ⧧ for the three processes, which would further support the same type of mechanism along the series (see the SI for details) …”
Section: Results and Discussionmentioning
confidence: 43%
“…The application of linear Gibbs energy relationships, most notably the Hammett equation, was found to be very powerful in interpreting the reversible and irreversible potentials of classes of compounds as a function of the substituents on the molecule. The early work is summarized in the monograph by Zuman 11 and the subject continues to be the topic of additional applications and refinements [12][13][14][15][16][17][18][19][20][21] as well as reviews. 22 Early applications of theory were based on the Hu ¨ckel molecular orbital theory and extensions.…”
Section: Correlations With Molecular Propertiesmentioning
confidence: 99%
“…The resultant parameters capturing ligand properties, also called ligand descriptors, can aid the interpretation of experimental results. Thus the analysis of correlations or the fitting of simple regression models can highlight the relationship between a given observable and a small number of descriptors . Ligand descriptors can also be used to select ligands for experimentation, either by choosing a selection of ligands to achieve a chemically varied test set , or by highlighting subsets of ligands whose complexes have desirable properties, such as high catalytic activity, in common and thus focusing further study on “hot spots” within the ligand space. ,, Where suitable experimental training data are available, i.e., those sampling a varied ligand set under the same reaction conditions and capturing a good range of response data, such descriptors can be used to derive regression models suitable for making predictions about other ligands; these models often require more extensive descriptor databases, and detailed chemical interpretation becomes more difficult.…”
Section: Introductionmentioning
confidence: 99%