Generalized black-box large deviation simulations: High-precision work distributions for extreme non-equilibrium processes in large systems
Alexander K. Hartmann

TL;DR
This paper introduces a generalized large-deviation simulation method to accurately compute work distributions and free energy differences in complex non-equilibrium processes, even at extremely low probabilities, demonstrated on a 2D Ising model.
Contribution
The work presents a novel, highly precise large-deviation approach capable of estimating work distributions and free energies in non-equilibrium systems where traditional methods fail.
Findings
Achieved relative precision of 10^{-4} in free energy calculations.
Successfully computed work distributions with probabilities as low as 10^{-240}.
Verified Crooks theorem with high accuracy in the studied processes.
Abstract
The distributions of work for strongly non-equilibrium processes are studied using a very general form of a large-deviation approach, which allows one to study distributions of almost arbitrary quantities of interest for equilibrium, non-equilibrium stationary and even non-stationary processes. The method is applied to varying quickly the external field in a wide range B=3 <-> 0 for critical (T=2.269) two-dimensional Ising system of size LxL=128x128. To obtain free energy differences from the work distributions, they must be studied in ranges where the probabilities are as small as 10^{-240}, which is not possible using direct simulation approaches. By comparison with the exact free energies, which are available for this model for the zero-field case, one sees that the present approach allows one to obtain the free energy with a very high relative precision of 10^{-4}. This works well…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Statistical Mechanics and Entropy · Gas Dynamics and Kinetic Theory
