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20182022
most citedGround states of linear rotor chains via the density matrix renormalization group

23 citations · 63 across the 7 of their papers we have counts for

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physics.chem-ph2021

On the quantum mechanical potential of mean force. II. Constrained path integral molecular dynamics integrators

Dmitri Iouchtchenko, Kevin P. Bishop, Pierre-Nicholas Roy

Building on Paper I of this series, which introduced path integral Monte Carlo (PIMC) estimators for the derivative of the potential of mean force (PMF), we propose two path integr…

physics.chem-ph2021

On the quantum mechanical potential of mean force. I. A path integral perspective

Dmitri Iouchtchenko, Kevin P. Bishop, Pierre-Nicholas Roy

We derive two path integral estimators for the derivative of the quantum mechanical potential of mean force (PMF), which may be numerically integrated to yield the PMF. For the fir…

physics.chem-ph2019

Deterministic and quasi-random sampling of optimized Gaussian mixture distributions for vibronic Monte Carlo

Dmitri Iouchtchenko, Neil Raymond, Pierre-Nicholas Roy +1

It was recently shown that path integral Monte Carlo can be used to directly compute partition functions of Hamiltonians with vibronic coupling [J. Chem. Phys. 148, 194110 (2018)].…

physics.chem-ph2018★ 23 cited

Ground states of linear rotor chains via the density matrix renormalization group

Dmitri Iouchtchenko, Pierre-Nicholas Roy

In recent years, experimental techniques have enabled the creation of endofullerene peapod nanomolecular assemblies. It was previously suggested that the rotor model resulting from…

physics.chem-ph2018★ 3 cited

A path integral methodology for obtaining thermodynamic properties of nonadiabatic systems using Gaussian mixture distributions

Neil Raymond, Dmitri Iouchtchenko, Pierre-Nicholas Roy +1

We introduce a new path integral Monte Carlo method for investigating nonadiabatic systems in thermal equilibrium and demonstrate an approach to reducing stochastic error. We deriv…