Predictive Models for Ligand Effects on a Reactive Al-Containing Radical Intermediate from Multivariate Linear Regression Analysis

Our lab has studied a complex with an Al–Fe bond capable of cooperative substrate activation processes. This reactivity was previously found to depend on Al–Fe homolytic bond dissociation followed by substrate coordination to the AlIII center of the resulting redox noninnocent radical intermediate. The current study investigates ligand influences on the Al–Fe bond dissociation free energy (BDFEAl–Fe) and the Gibbs free energy of H2O coordination at aluminum (ΔGOH2) for a series of variants with systematic changes in their ligand substitution patterns. DFT calculations combined with multivariate linear regression analysis provided predictive models for ligand effects on both BDFEAl–Fe and ΔGAl–OH2 for three synthetically tunable positions in the molecular architecture when using appropriate electronic (σpara, σmeta) and steric (wSterimol, %Vbur) descriptors. Chemical interpretations of the predictive models were facilitated by the use of these intuitive descriptors. Linear scaling relationships relating BDFEAl–Fe and ΔGOH2 provided further insight. We expect our findings to inform designs of future Al-containing heterobinuclear complexes for small molecule activation processes and cleavage reactions of strong or inert bonds.

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Publication Details

Journal
Organometallics
Published
2024-11-11
DOI
https://doi.org/10.1021/acs.organomet.4c00285
Citations
2
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.23

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article

Predictive Models for Ligand Effects on a Reactive Al-Containing Radical Intermediate from Multivariate Linear Regression Analysis

Neal P. Mankad, Maxim R. Radzhabov, S. M. Supundrika Subasinghe
2 citations
Organometallics
Machine Learning in Materials Science
0.23
article

Predictive Models for Ligand Effects on a Reactive Al-Containing Radical Intermediate from Multivariate Linear Regression Analysis

Neal P. Mankad, Maxim R. Radzhabov, S. M. Supundrika Subasinghe
article en
2 citations

Abstract

Our lab has studied a complex with an Al–Fe bond capable of cooperative substrate activation processes. This reactivity was previously found to depend on Al–Fe homolytic bond dissociation followed by substrate coordination to the AlIII center of the resulting redox noninnocent radical intermediate. The current study investigates ligand influences on the Al–Fe bond dissociation free energy (BDFEAl–Fe) and the Gibbs free energy of H2O coordination at aluminum (ΔGOH2) for a series of variants with systematic changes in their ligand substitution patterns. DFT calculations combined with multivariate linear regression analysis provided predictive models for ligand effects on both BDFEAl–Fe and ΔGAl–OH2 for three synthetically tunable positions in the molecular architecture when using appropriate electronic (σpara, σmeta) and steric (wSterimol, %Vbur) descriptors. Chemical interpretations of the predictive models were facilitated by the use of these intuitive descriptors. Linear scaling relationships relating BDFEAl–Fe and ΔGOH2 provided further insight. We expect our findings to inform designs of future Al-containing heterobinuclear complexes for small molecule activation processes and cleavage reactions of strong or inert bonds.

OrganometallicsVol. 43(22)
University of Illinois Chicago (US)
Basic Energy Sciences
Zero hunger
Openalex Percentile: Top 50%
Machine Learning in Materials Science
0.23
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