Literature DB >> 18624514

An efficient ring polymer contraction scheme for imaginary time path integral simulations.

Thomas E Markland1, David E Manolopoulos.   

Abstract

A quantum simulation of an imaginary time path integral typically requires around n times more computational effort than the corresponding classical simulation, where n is the number of ring polymer beads (or imaginary time slices) used in the calculation. However, this estimate neglects the fact that the potential energies of many systems can be decomposed into a sum of rapidly varying short-range and slowly varying long-range contributions. For such systems, the computational effort of the path integral simulation can be reduced considerably by evaluating the long-range forces on a contracted ring polymer with fewer beads than are needed to evaluate the short-range forces. This idea is developed and then illustrated with an application to a flexible model of liquid water in which the intramolecular forces are evaluated with 32 beads, the oxygen-oxygen Lennard-Jones forces with seven, and the intermolecular electrostatic forces with just five. The resulting static and dynamic properties are within a few percent of those of a full 32-bead calculation, and yet they are obtained with a computational effort less than six times (rather than 32 times) that of a classical simulation. We hope that this development will encourage future studies of quantum mechanical fluctuations in liquid water and aqueous solutions and in many other systems with similar interaction potentials.

Entities:  

Year:  2008        PMID: 18624514     DOI: 10.1063/1.2953308

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  11 in total

1.  Unraveling quantum mechanical effects in water using isotopic fractionation.

Authors:  Thomas E Markland; B J Berne
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-07       Impact factor: 11.205

2.  Using Machine Learning to Greatly Accelerate Path Integral Ab Initio Molecular Dynamics.

Authors:  Chenghan Li; Gregory A Voth
Journal:  J Chem Theory Comput       Date:  2022-01-04       Impact factor: 6.006

3.  Coarse-Graining of Imaginary Time Feynman Path Integrals: Inclusion of Intramolecular Interactions and Bottom-up Force-Matching.

Authors:  Won Hee Ryu; Gregory A Voth
Journal:  J Phys Chem A       Date:  2022-08-25       Impact factor: 2.944

4.  Centroid Molecular Dynamics Can Be Greatly Accelerated through Neural Network Learned Centroid Forces Derived from Path Integral Molecular Dynamics.

Authors:  Timothy D Loose; Patrick G Sahrmann; Gregory A Voth
Journal:  J Chem Theory Comput       Date:  2022-09-14       Impact factor: 6.578

5.  Learning the Quantum Centroid Force Correction in Molecular Systems: A Localized Approach.

Authors:  Chuixiong Wu; Ruye Li; Kuang Yu
Journal:  Front Mol Biosci       Date:  2022-05-19

6.  Static and Dynamic Correlations in Water: Comparison of Classical Ab Initio Molecular Dynamics at Elevated Temperature with Path Integral Simulations at Ambient Temperature.

Authors:  Chenghan Li; Francesco Paesani; Gregory A Voth
Journal:  J Chem Theory Comput       Date:  2022-03-09       Impact factor: 6.578

7.  Affordable Ab Initio Path Integral for Thermodynamic Properties via Molecular Dynamics Simulations Using Semiempirical Reference Potential.

Authors:  Yuanfei Xue; Jia-Ning Wang; Wenxin Hu; Jun Zheng; Yongle Li; Xiaoliang Pan; Yan Mo; Yihan Shao; Lu Wang; Ye Mei
Journal:  J Phys Chem A       Date:  2021-12-12       Impact factor: 2.944

8.  Computationally Efficient Multiconfigurational Reactive Molecular Dynamics.

Authors:  Takefumi Yamashita; Yuxing Peng; Chris Knight; Gregory A Voth
Journal:  J Chem Theory Comput       Date:  2012-12-11       Impact factor: 6.006

9.  Nuclear quantum effects on the thermodynamic, structural, and dynamical properties of water.

Authors:  Ali Eltareb; Gustavo E Lopez; Nicolas Giovambattista
Journal:  Phys Chem Chem Phys       Date:  2021-03-17       Impact factor: 3.945

Review 10.  Modeling Molecular Interactions in Water: From Pairwise to Many-Body Potential Energy Functions.

Authors:  Gerardo Andrés Cisneros; Kjartan Thor Wikfeldt; Lars Ojamäe; Jibao Lu; Yao Xu; Hedieh Torabifard; Albert P Bartók; Gábor Csányi; Valeria Molinero; Francesco Paesani
Journal:  Chem Rev       Date:  2016-05-17       Impact factor: 60.622

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