Benchmark control problems in nonequilibrium statistical mechanics
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1866908487393476608 |
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| author | Whitelam, Stephen Casert, Corneel Engel, Megan Tamblyn, Isaac |
| author_facet | Whitelam, Stephen Casert, Corneel Engel, Megan Tamblyn, Isaac |
| contents | 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). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_15122 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Benchmark control problems in nonequilibrium statistical mechanics Whitelam, Stephen Casert, Corneel Engel, Megan Tamblyn, Isaac Statistical Mechanics 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). |
| title | Benchmark control problems in nonequilibrium statistical mechanics |
| topic | Statistical Mechanics |
| url | https://arxiv.org/abs/2506.15122 |