Benchmark control problems in nonequilibrium statistical mechanics
Statistical Mechanics
2025-08-14 v2
Abstract
We present a set of computer codes designed to test methods for optimizing time-dependent control protocols in fluctuating nonequilibrium systems. Each problem consists of a stochastic model, an optimization objective, and C++ and Python implementations that can be run on Unix-like systems. These benchmark systems are simple enough to run on a laptop, but challenging enough to test the capabilities of modern optimization methods. This release includes five problems and a worked example. The problem set is called NESTbench25, for NonEquilibrium STatistical mechanics benchmarks (2025).
Cite
@article{arxiv.2506.15122,
title = {Benchmark control problems in nonequilibrium statistical mechanics},
author = {Stephen Whitelam and Corneel Casert and Megan Engel and Isaac Tamblyn},
journal= {arXiv preprint arXiv:2506.15122},
year = {2025}
}