Publication
Ring-Polymer Instanton Tunneling Splittings of Tropolone and Isotopomers using a ?-Machine Learned CCSD(T) Potential: Theory and Experiment Shake Hands
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- Last modified
- 06/25/2025
- Type of Material
- Authors
- Language
- English
- Date
- 2023-04-20
- Publisher
- AMER CHEMICAL SOC
- Publication Version
- Copyright Statement
- © 2023 The Authors. Published by American Chemical Society
- License
- Final Published Version (URL)
- Title of Journal or Parent Work
- Volume
- 145
- Issue
- 17
- Start Page
- 9655
- End Page
- 9664
- Supplemental Material (URL)
- Abstract
- Tropolone, a 15-atom cyclic molecule, has received much interest both experimentally and theoretically due to its H-transfer tunneling dynamics. An accurate theoretical description is challenging owing to the need to develop a high-level potential energy surface (PES) and then to simulate quantum-mechanical tunneling on this PES in full dimensionality. Here, we tackle both aspects of this challenge and make detailed comparisons with experiments for numerous isotopomers. The PES, of near CCSD(T)-quality, is obtained using a Δ-machine learning approach starting from a pre-existing low-level DFT PES and corrected by a small number of approximate CCSD(T) energies obtained using the fragmentation-based molecular tailoring approach. The resulting PES is benchmarked against DF-FNO-CCSD(T) and CCSD(T)-F12 calculations. Ring-polymer instanton calculations of the splittings, obtained with the Δ-corrected PES are in good agreement with previously reported experiments and a significant improvement over those obtained using the low-level DFT PES. The instanton path includes heavy-atom tunneling effects and cuts the corner, thereby avoiding passing through the conventional saddle-point transition state. This is in contradistinction with typical approaches based on the minimum-energy reaction path. Finally, the subtle changes in the splittings for some of the heavy-atom isotopomers seen experimentally are reproduced and explained.
- Author Notes
- Keywords
- Research Categories
- Chemistry, Biochemistry
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