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Lossless Brownian Information Engine

Cited 15 time in webofscience Cited 16 time in scopus
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Title
Lossless Brownian Information Engine
Author(s)
Govind Paneru; Dong Yun Lee; Tsvi Tlusty; Hyuk Kyu Pak
Publication Date
2018-01
Journal
PHYSICAL REVIEW LETTERS, v.120, no.2, pp.020601
Publisher
AMER PHYSICAL SOC
Abstract
We report on a lossless information engine that converts nearly all available information from an error-free feedback protocol into mechanical work. Combining high-precision detection at a resolution of 1 nm with ultrafast feedback control, the engine is tuned to extract the maximum work from information on the position of a Brownian particle. We show that the work produced by the engine achieves a bound set by a generalized second law of thermodynamics, demonstrating for the first time the sharpness of this bound. We validate a generalized Jarzynski equality for error-free feedback-controlled information engines. © 2018 American Physical Society
URI
https://pr.ibs.re.kr/handle/8788114/4708
DOI
10.1103/PhysRevLett.120.020601
ISSN
0031-9007
Appears in Collections:
Center for Soft and Living Matter(첨단연성물질 연구단) > 1. Journal Papers (저널논문)
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2018_Pak_PhysRevLett_Lossless Brownian Information Engine.pdfDownload

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