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11B NMR Chemical Shift Predictions via Density Functional Theory and Gauge-Including Atomic Orbital Approach: Applications to Structural Elucidations of Boron-Containing Molecules

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posted on 2024-11-16, 02:00 authored by Peng Gao, Xingyong Wang, Zhenguo Huang, Haibo YuHaibo Yu
11B nuclear magnetic resonance (NMR) spectroscopy is a useful tool for studies of boron-containing compounds in terms of structural analysis and reaction kinetics monitoring. A computational protocol, which is aimed at an accurate prediction of 11B NMR chemical shifts via linear regression, was proposed based on the density functional theory and the gauge-including atomic orbital approach. Similar to the procedure used for carbon, hydrogen, and nitrogen chemical shift predictions, a database of boron-containing molecules was first compiled. Scaling factors for the linear regression between calculated isotropic shielding constants and experimental chemical shifts were then fitted using eight different levels of theory with both the solvation model based on density and conductor-like polarizable continuum model solvent models. The best method with the two solvent models yields a root-mean-square deviation of about 3.40 and 3.37 ppm, respectively. To explore the capabilities and potential limitations of the developed protocols, classical boron-hydrogen compounds and molecules with representative boron bonding environments were chosen as test cases, and the consistency between experimental values and theoretical predictions was demonstrated.

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Computational enzymology: exploring the free energy landscape of enzymatic catalysis

Australian Research Council

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Liquid-phase hydrogen carriers for energy storage and delivery

Australian Research Council

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Citation

Gao, P., Wang, X., Huang, Z. & Yu, H. (2019). 11B NMR Chemical Shift Predictions via Density Functional Theory and Gauge-Including Atomic Orbital Approach: Applications to Structural Elucidations of Boron-Containing Molecules. ACS Omega, 4 (7), 12385-12392.

Journal title

ACS Omega

Volume

4

Issue

7

Pagination

12385-12392

Language

English

RIS ID

137414

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