Barriometry – an enhanced database of accurate barrier heights for gas-phase reactions
文献信息
Bun Chan, John M. Simmie
The kinetics of many reactions are critically dependent upon the barrier heights for which accurate determination can be difficult. From the perspective of attaining such quantities using computational quantum chemistry, it is important to appropriately validate routine and efficient methodologies such as density functional theory (DFT) procedures. In the present study, we embark on the journey of establishing diverse databases using a consistent high-level quantum chemistry procedure, against which new and existing methodologies can be assessed. Thus, we have used the composite protocol W3X-L to provide more than 100 refined reference values for existing databases [e.g., Y. Zhao and D. G. Truhlar, J. Phys. Chem. A, 2005, 109, 5656] and additionally establish benchmark data that are of interest to atmospheric and combustion chemists. While our endeavor has just begun, assessment of various DFT methods with our existing results lends support to the use of MN15 as an adequate method for general kinetics applications. We also recommend the use of less-costly W2X and WG composite protocols for obtaining adequately accurate reference thermochemical values for larger molecular systems.
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Physical Chemistry Chemical Physics

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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