Evidence map›Paper›PMID 33287020›Full record

ArticleEntropy (Basel, Switzerland)2020

Entropy Production in Exactly Solvable Systems.

Luca Cocconi, Rosalba Garcia-Millan, Zigan Zhen, Bianca Buturca, Gunnar Pruessner

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2020. 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. Metareview: a survey of active matter reviews.The European physical journal. E, Soft matter · 2025
    Review
  2. Entropy Production of Run-and-Tumble Particles.Entropy (Basel, Switzerland) · 2024
    Article
  3. Article
  4. Particle entity in the Doi-Peliti and response field formalisms.Journal of physics. A, Mathematical and theoretical · 2023
    Article
  5. 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.

Luca CocconiDepartment of Mathematics, Imperial College London, 180 Queen's Gate, London SW7 2AZ, UK.ORCID 0000-0002-8551-1461
Rosalba Garcia-MillanDepartment of Mathematics, Imperial College London, 180 Queen's Gate, London SW7 2AZ, UK.ORCID 0000-0002-2809-5705
Zigan ZhenDepartment of Mathematics, Imperial College London, 180 Queen's Gate, London SW7 2AZ, UK.ORCID 0000-0002-5606-5095
Bianca ButurcaDepartment of Physics, Imperial College London, Exhibition Road, London SW7 2AZ, UK.ORCID 0000-0003-2437-0236
Gunnar PruessnerDepartment of Mathematics, Imperial College London, 180 Queen's Gate, London SW7 2AZ, UK.ORCID 0000-0002-4704-9632

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rate of entropy production by a stochastic process quantifies how far it is from thermodynamic equilibrium. Equivalently, entropy production captures the degree to which global detailed balance and time-reversal symmetry are broken. Despite abundant references to entropy production in the literature and its many applications in the study of non-equilibrium stochastic particle systems, a comprehensive list of typical examples illustrating the fundamentals of entropy production is lacking. Here, we present a brief, self-contained review of entropy production and calculate it from first principles in a catalogue of exactly solvable setups, encompassing both discrete- and continuous-state Markov processes, as well as single- and multiple-particle systems. The examples covered in this work provide a stepping stone for further studies on entropy production of more complex systems, such as many-particle active matter, as well as a benchmark for the development of alternative mathematical formalisms.

Indexed as

active matterentropy productionexact resultsstochastic thermodynamics

Identifiers

PMID33287020
PMCPMC7711514

What OpenQuestion holds

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Registered trials

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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.