Path-integral virial estimator for reaction rate calculation based on the quantum instanton approximation
Sandy Yang, Takeshi Yamamoto, William H. Miller
Abstract
The quantum instanton approximation is a type of quantum transition state theory that calculates the chemical reaction rate using the reactive flux correlation function and its low order derivatives at time zero. Here we present several path-integral estimators for the latter quantities, which characterize the initial decay profile of the flux correlation function. As with the internal energy or heat capacity calculation, different estimators yield different variances (and therefore different convergence properties) in a Monte Carlo calculation. Here we obtain a virial-type estimator by using a coordinate scaling procedure rather than integration by parts, which allows more computational benefits. We also consider two different methods for treating the flux operator, i.e., local-path and global-path approaches, in which the latter achieves a smaller variance at the cost of using second-order potential derivatives. Numerical tests are performed for a one-dimensional Eckart barrier and a model proton transfer reaction in a polar solvent, which illustrates the reduced variance of the virial estimator over the corresponding thermodynamic estimator.
Create a lesson
Related papers
Real-Time Emergence of Charge-Transfer-to-Solvent States from Core Excitation
Jiří Suchan, B. Scott Fales, Benjamin G. Levine et al.
ElemCo.jl: A Julia package for electron-correlation methods
Daniel Kats, Charlotte Rickert, Thomas Schraivogel et al.
Franson-Interferometric Bounds on Entangled Two-Photon Absorption
Albin Hedse, Sankaran Ramesh, Luis Matheis et al.
The off-diagonal low rank property: new opportunities for low-scaling computational chemistry methods
Zikuan Wang
Core-valence double ionization of SF6 involving S2p, F1s and S1s inner shells
Veronica Daver Ideböhn, Daniel M. Pereira, Lucas M. Cornetta et al.
Benchmark of Multi-Channel Dyson Equation and Algebraic Diagrammatic Construction Methods for molecules
Mike Keizer, Stefano Paggi, J. Arjan Berger et al.