| Issue |
EPL
Volume 149, Number 6, March 2025
|
|
|---|---|---|
| Article Number | 61001 | |
| Number of page(s) | 7 | |
| Section | Statistical physics and networks | |
| DOI | https://doi.org/10.1209/0295-5075/adbb17 | |
| Published online | 03 April 2025 | |
Experimental realizations of information engines: Beyond proof of concept
1 Raymond & Beverly Sackler School of Chemistry, Tel Aviv University - Tel Aviv 6997801, Israel
2 Department of Physics of Complex Systems, Weizmann Institute of Science - Rehovot 7610001, Israel
3 Schulich Faculty of Chemistry, Technion–Israel Institute of Technology - Haifa 3200008, Israel
4 Raymond & Beverly Sackler School of Physics and Astronomy, Tel Aviv University - Tel Aviv 6997801, Israel
Received: 26 January 2025
Accepted: 27 February 2025
Gathering information about a system enables greater control over it. This principle lies at the core of information engines, which use measurement-based feedback to rectify thermal noise and convert information into work. Originating from Maxwell's and Szilard's thought experiments, the thermodynamics of information engines has steadily advanced, with recent experimental realizations pushing the field forward. Coupled with technological advances and developments in nonequilibrium thermodynamics, novel implementations of information engines continue to challenge theoretical understanding. In this perspective, we discuss recent progress and highlight new opportunities, such as applying information engines to active, many-body, and inertial systems and leveraging tools like optimal control to design their driving protocols.
© 2025 The author(s)
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