Evidence map›Paper›PMID 33972432›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Maximizing power and velocity of an information engine.

Tushar K Saha, Joseph N E Lucero, Jannik Ehrich, David A Sivak, John Bechhoefer

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Tuning up Maxwell's demon.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Tushar K SahaDepartment of Physics, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada.ORCID http://orcid.org/0000-0003-1796-823X
Joseph N E LuceroDepartment of Physics, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada.ORCID http://orcid.org/0000-0002-1068-371X
Jannik EhrichDepartment of Physics, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada.ORCID http://orcid.org/0000-0003-2033-8466
David A SivakDepartment of Physics, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada dsivak@sfu.ca johnb@sfu.ca.ORCID http://orcid.org/0000-0003-4815-4722
John BechhoeferDepartment of Physics, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada dsivak@sfu.ca johnb@sfu.ca.ORCID http://orcid.org/0000-0003-2568-5491

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Information-driven engines that rectify thermal fluctuations are a modern realization of the Maxwell-demon thought experiment. We introduce a simple design based on a heavy colloidal particle, held by an optical trap and immersed in water. Using a carefully designed feedback loop, our experimental realization of an "information ratchet" takes advantage of favorable "up" fluctuations to lift a weight against gravity, storing potential energy without doing external work. By optimizing the ratchet design for performance via a simple theory, we find that the rate of work storage and velocity of directed motion are limited only by the physical parameters of the engine: the size of the particle, stiffness of the ratchet spring, friction produced by the motion, and temperature of the surrounding medium. Notably, because performance saturates with increasing frequency of observations, the measurement process is not a limiting factor. The extracted power and velocity are at least an order of magnitude higher than in previously reported engines.

Indexed as

feedback trapinformation enginestochastic thermodynamics

Identifiers

PMID33972432
PMCPMC8157929

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.