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Thermodynamic Integration Versus Expanded Ensemble and Replica-Exchange Monte Carlo Simulation

2 Thermodynamic Integration Versus Expanded Ensemble and Replica-Exchange Monte Carlo Simulation [Pg.232]

The free energy change along the transformation path in the two-dimensional parameter space spanned by and XN can be calculated via thermodynamic integration. Let XiN XN X N denote such a path, then the free [Pg.232]

Within each interval, we use an expanded ensemble technique to explore the sampling points and configurations between neighboring intervals are swapped via replica-exchange Monte Carlo moves [118]. The partition fimction, takes the form  [Pg.232]

The Monte Carlo simulation comprises three distinct moves (i) Canonical Monte Carlo moves update the molecular conformations in the Mr repUca. In this specific application, we employ a Smart Monte Carlo algorithm [119] that utilizes strong bonded forces to propose a trial displacement [43, 87]. The amplitude of the trial displacement has been optimized in order to maximize the mean-square displacement of molecules [91], and the single-chain dynamics closely resembles the Rouse-dynamics of unentangled macromolecules [120]. (ii) Since each replica is an [Pg.232]

In order to sample all states of the expanded ensembles with uniform probability, the weighting factors, T)(kjN), should closely resemble the free energy [Pg.233]




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Carlo simulation

Ensemble Monte Carlo simulation

Exchange integral

Expanded ensembles

Integration simulation

Integration thermodynamic

Monte Carlo simulation

Monte expanded-ensemble

Monte replica-exchange

Monte simulations

Replica

Replica-exchange

Simulating replica exchange

Simulation integral

Thermodynamic ensembles

Thermodynamics ensemble

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