Evidence map›Paper›PMID 41285862›Full record

ArticleNature communications2025

Hydrodynamic spin-pairing and active polymerization of oppositely spinning rotors.

Mattan Gelvan, Artyom Chirko, Jonathan Kirpitch, Yahav Lavie, Noa Israel, Naomi Oppenheimer

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Mattan GelvanDepartment of Physics and Astronomy and the Center for the Physics and Chemistry of Living Systems, Tel-Aviv University, Tel Aviv, Israel.ORCID http://orcid.org/0009-0007-6210-690X
Artyom Chirko *Department of Physics and Astronomy and the Center for the Physics and Chemistry of Living Systems, Tel-Aviv University, Tel Aviv, Israel.ORCID http://orcid.org/0009-0003-8660-6678
Jonathan Kirpitch *Department of Physics and Astronomy and the Center for the Physics and Chemistry of Living Systems, Tel-Aviv University, Tel Aviv, Israel.
Yahav Lavie *Department of Physics and Astronomy and the Center for the Physics and Chemistry of Living Systems, Tel-Aviv University, Tel Aviv, Israel.
Noa IsraelDepartment of Physics and Astronomy and the Center for the Physics and Chemistry of Living Systems, Tel-Aviv University, Tel Aviv, Israel.
Naomi OppenheimerDepartment of Physics and Astronomy and the Center for the Physics and Chemistry of Living Systems, Tel-Aviv University, Tel Aviv, Israel. naomiop@gmail.com.ORCID http://orcid.org/0000-0002-8212-3404

Funding

Israel Science Foundation (ISF) 1752/20
6 · The paper itself

Abstract

Rotors are common in nature - from rotating membrane-proteins to superfluid-vortices. Yet, little is known about the collective dynamics of heterogeneous populations of rotors. Here, we show experimentally, numerically, and analytically that at small but finite inertia, a mixed population of oppositely spinning rotors spontaneously self-assembles into active chains, which we term gyromers. The gyromers are formed and stabilized by fluid motion and steric interactions alone. A detailed analysis of pair interaction shows that rotors with the same spin repel and orbit each other while opposite rotors spin-pair and propagate together as bound dimers. Rotor dimers interact with individual rotors, each other, and the boundaries to form chains. A minimal model predicts the formation of gyromers in numerical simulations and their possible subsequent folding into secondary structures of lattices and rings. This inherently out-of-equilibrium polymerization process holds promise for engineering self-assembled metamaterials such as artificial macroscale proteins.

Identifiers

PMID41285862
PMCPMC12644699

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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.