Quantum calculations on a new CCSD(T) machine-learned PES reveal the leaky nature of gas-phase $trans$ and $gauche$ ethanol conformers
Apurba Nandi, Riccardo Conte, Chen Qu, Paul L. Houston, Qi Yu, and, Joel M. Bowman

TL;DR
This study uses advanced quantum calculations on a machine-learned potential energy surface to reveal the delocalization and 'leaky' nature of ethanol's conformers, explaining experimental challenges in their identification.
Contribution
It introduces a new CCSD(T)-level machine-learned PES for ethanol, enabling detailed quantum analysis of conformer delocalization and tunneling effects.
Findings
Ground state resembles trans conformer with significant gauche delocalization
Deuteration reduces the leak effect, highlighting quantum effects
High agreement between quantum calculations and experimental data
Abstract
Ethanol is a molecule of fundamental interest in combustion, astrochemistry, and condensed phase as a solvent. It is characterized by two methyl rotors and () and conformers, which are known to be very close in energy. Here we show that based on rigorous quantum calculations of the vibrational zero-point state, using a new ab initio potential energy surface (PES), the ground state resembles the conformer but substantial delocalization to the conformer is present. This explains experimental issues about the identification and isolation of the two conformers. This "leak" effect is partially quenched when deuterating the OH group, which further demonstrates the need for a quantum mechanical approach. Diffusion Monte Carlo (DMC) and full-dimensional semiclassical dynamics calculations are employed. The new PES is obtained by means of a…
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Taxonomy
TopicsMachine Learning in Materials Science · Advanced Chemical Physics Studies · Quantum, superfluid, helium dynamics
