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Formic Acid–Ammonia Heterodimer: A New Δ-Machine Learning CCSD(T)-Level Potential Energy Surface Allows Investigation of the Double Proton Transfer

Authors :
Houston, Paul L.
Qu, Chen
Yu, Qi
Pandey, Priyanka
Conte, Riccardo
Nandi, Apurba
Bowman, Joel M.
Kukolich, Stephen G.
Source :
Journal of Chemical Theory and Computation; March 2024, Vol. 20 Issue: 5 p1821-1828, 8p
Publication Year :
2024

Abstract

The formic acid–ammonia dimer is an important example of a hydrogen-bonded complex in which a double proton transfer can occur. Its microwave spectrum has recently been reported and rotational constants and quadrupole coupling constants were determined. Calculated estimates of the double-well barrier and the internal barriers to rotation were also reported. Here, we report a full-dimensional potential energy surface (PES) for this complex, using two closely related Δ-machine learning methods to bring it to the CCSD(T) level of accuracy. The PES dissociates smoothly and accurately. Using a 2d quantum model the ground vibrational-state tunneling splitting is estimated to be less than 10–4cm–1. The dipole moment along the intrinsic reaction coordinate is calculated along with a Mullikan charge analysis and supports the mildly ionic character of the minimum and strongly ionic character at the double-well barrier.

Details

Language :
English
ISSN :
15499618 and 15499626
Volume :
20
Issue :
5
Database :
Supplemental Index
Journal :
Journal of Chemical Theory and Computation
Publication Type :
Periodical
Accession number :
ejs65546185
Full Text :
https://doi.org/10.1021/acs.jctc.3c01273