Routine molecular dynamics simulations including nuclear quantum effects: From force fields to machine learning potentials
We report the implementation of a multi-CPU and multi-GPU massively parallel platform
dedicated to the explicit inclusion of nuclear quantum effects (NQEs) in the Tinker-HP …
dedicated to the explicit inclusion of nuclear quantum effects (NQEs) in the Tinker-HP …
[HTML][HTML] Use the force! Reduced variance estimators for densities, radial distribution functions, and local mobilities in molecular simulations
B Rotenberg - The Journal of Chemical Physics, 2020 - pubs.aip.org
Even though the computation of local properties, such as densities or radial distribution
functions, remains one of the most standard goals of molecular simulation, it still largely …
functions, remains one of the most standard goals of molecular simulation, it still largely …
Harmonic Oscillator Staging Coordinates for Efficient Path Integral Simulations of Quantum Oscillators and Crystals
SG Moustafa, AJ Schultz - Journal of Chemical Theory and …, 2024 - ACS Publications
Imaginary-time path integral (PI) is a rigorous quantum mechanical tool to compute static
properties at finite temperatures. However, the stiff nature of the internal PI modes poses a …
properties at finite temperatures. However, the stiff nature of the internal PI modes poses a …
Small nuclear quantum effects in scattering of H and D from graphene
We study nuclear quantum effects in H/D sticking to graphene, comparing scattering
experiments at near-zero coverage with classical, quantized, and transition-state …
experiments at near-zero coverage with classical, quantized, and transition-state …
Convergence of unadjusted Hamiltonian Monte Carlo for mean-field models
N Bou-Rabee, K Schuh - Electronic Journal of Probability, 2023 - projecteuclid.org
We present dimension-free convergence and discretization error bounds for the unadjusted
Hamiltonian Monte Carlo algorithm applied to high-dimensional probability distributions of …
Hamiltonian Monte Carlo algorithm applied to high-dimensional probability distributions of …
[HTML][HTML] Equilibrium–nonequilibrium ring-polymer molecular dynamics for nonlinear spectroscopy
Two-dimensional Raman and hybrid terahertz-Raman spectroscopic techniques provide
invaluable insight into molecular structures and dynamics of condensed-phase systems …
invaluable insight into molecular structures and dynamics of condensed-phase systems …
NQCDynamics. jl: A Julia package for nonadiabatic quantum classical molecular dynamics in the condensed phase
Accurate and efficient methods to simulate nonadiabatic and quantum nuclear effects in high-
dimensional and dissipative systems are crucial for the prediction of chemical dynamics in …
dimensional and dissipative systems are crucial for the prediction of chemical dynamics in …
Microcanonical rates from ring-polymer molecular dynamics: Direct-shooting, stationary-phase, and maximum-entropy approaches
We address the calculation of microcanonical reaction rates for processes involving
significant nuclear quantum effects using ring-polymer molecular dynamics (RPMD), both …
significant nuclear quantum effects using ring-polymer molecular dynamics (RPMD), both …
New Stable and Fast Ring-Polymer Molecular Dynamics for Calculating Bimolecular Rate Coefficients with an Example of OH + CH4
The accurate and efficient calculation of the rate coefficients of chemical reactions is a key
issue in the research of chemical dynamics. In this work, by applying the dimension-free …
issue in the research of chemical dynamics. In this work, by applying the dimension-free …
Two-scale coupling for preconditioned Hamiltonian Monte Carlo in infinite dimensions
N Bou-Rabee, A Eberle - … and Partial Differential Equations: Analysis and …, 2021 - Springer
We derive non-asymptotic quantitative bounds for convergence to equilibrium of the exact
preconditioned Hamiltonian Monte Carlo algorithm (pHMC) on a Hilbert space. As a …
preconditioned Hamiltonian Monte Carlo algorithm (pHMC) on a Hilbert space. As a …