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Full-dimensional, <i>ab initio</i> potential energy surface for glycine with characterization of stationary points and zero-point energy calculations by means of diffusion Monte Carlo and semiclassical dynamics

Riccardo Conte, Paul L. Houston, Chen Qu, Jeffrey Li, Joel M. Bowman

2020The Journal of Chemical Physics42 citationsDOIOpen Access PDF

Abstract

A full-dimensional, permutationally invariant potential energy surface (PES) for the glycine amino acid is reported. A precise fit to energies and gradients calculated at the density functional theory (DFT)/B3LYP level of electronic-structure theory with Dunning's aug-cc-pVDZ basis set is performed involving 20 000 low-energy points and associated Cartesian gradients plus about 50 000 additional higher-energy points. The fact that newly calculated DFT/B3LYP energies for the main stationary points are close to the coupled-cluster single-double-triple [CCSD(T)] values, recently reported in the literature, provides reassurance about the accuracy of the constructed PES. Eight conformers and numerous saddle points are identified and characterized by describing geometries, relative stability, and harmonic frequencies. Stochastic and dynamical approaches are employed to study the vibrational ground state. Specifically, diffusion Monte Carlo simulations and approximate quantum dynamics, performed by means of the adiabatic switching semiclassical initial value representation technique, provide zero-point energies in excellent agreement with each other. The PES we report is sufficiently complete to permit spectroscopic and dynamical studies on glycine, which may be of interest to the biochemical and astrochemistry communities.

Topics & Concepts

Semiclassical physicsDiffusion Monte CarloPotential energy surfaceZero-point energySaddle pointPotential energyAb initioMonte Carlo methodStationary pointPhysicsStatistical physicsQuantum Monte CarloDensity functional theoryBasis setQuantum mechanicsSurface hoppingAb initio quantum chemistry methodsMolecular dynamicsQuantumMonte Carlo molecular modelingMathematicsMoleculeMathematical analysisGeometryStatisticsMarkov chain Monte CarloAdvanced Chemical Physics StudiesSpectroscopy and Quantum Chemical StudiesMolecular Spectroscopy and Structure