A DFT kinetic study on 1,3-dipolar cycloaddition reactions in solution

Literature Information

Publication Date 2016-10-18
DOI 10.1039/C6CP05190A
Impact Factor 3.676
Authors

Shi-Jun Li, De-Cai Fang


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Abstract

Several popular density functional theory (DFT) methods have been employed to characterize a series of 1,3-dipolar cycloaddition reactions, including the exploration of reaction mechanisms and the calculations of kinetic parameters. Both the gas- and solution-phase translational entropy models have been used to calculate the activation entropies, and the results obtained from the latter method are quite close to the experimental measurements. For some of the reactions studied, e.g., a1 + b9, a1 + b10, a5 + b9 and a12 + b5, the explicit + implicit solvation model, namely, a cluster-continuum type model, should be employed to account for the specific solvent–solute interactions. The quasi rigid-rotor-harmonic-oscillator (qRRHO) small frequency vibrational entropy correction, in conjunction with the conformational entropy correction, could further improve the calculated activation entropy data. The comparison between calculation data with experimental measurements, using 23 activation entropies and 160 reaction rate constants as test benchmark, demonstrated that our present strategy could calibrate the root-mean-square-deviation (RMSD) of activation entropies to be 1.8 cal mol−1 K−1 and that of Gibbs free energy barriers to be 1.8 kcal mol−1.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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