Evidence map›Paper›PMID 41936604›Full record

ArticleScientific reports2026

Observation of phase correlations in ferrofluids.

Alessandro Chiolerio, Giuseppe Vitiello, Mohammad Mahdi Dehshibi, Marco Crepaldi, Diego Torazza, Andrew Adamatzky

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Alessandro ChiolerioBioinspired Soft Robotics, Istituto Italiano di Tecnologia, Via Morego 30, 16163, Genova, Italy. alessandro.chiolerio@iit.it.
Giuseppe VitielloDipartimento di Fisica "E.R. Caianiello", Universitá di Salerno, Via Giovanni Paolo II 132, 84084, Fisciano, Italy.
Mohammad Mahdi DehshibiUnconventional Computing Laboratory, University of the West of England, Coldharbour Lane, BS16 1QY, Bristol, England, UK.
Marco CrepaldiElectronic Design Laboratory, Istituto Italiano di Tecnologia, Via Melen 83, 16152, Genova, Italy.
Diego TorazzaMechanical Workshop, Istituto Italiano di Tecnologia, Via S. Quirico 19d, 16163, Genova, Italy.
Andrew AdamatzkyUnconventional Computing Laboratory, University of the West of England, Coldharbour Lane, BS16 1QY, Bristol, England, UK.

Funding

European Innovation Council and Small and Medium-sized Enterprises Executive Agency 964388
6 · The paper itself

Abstract

Magnetic fluids, also known as ferrofluids, are excellent candidates for several important research fields, including soft robotics and biomedicine. In this study, we report on the observation of phase correlations between two physically isolated and electromagnetically shielded volumes of ferrofluid. A "twinning" pre-conditioning process, involving the application of hysteresis cycles to the entire fluid volume, was performed to induce a coherent state. Subsequently, the fluid was divided into two separate, shielded containers, with one subjected to an electrical stimulus. We observed statistically significant correlations in the impedance fluctuations between the stimulated and non-stimulated samples, even at a separation distance of up to 10 meters. These correlations persist for approximately 100 hours under laboratory conditions and were consistently observed in both water-based and hydrocarbon-based ferrofluids within a temperature range of 10-50 °C. The experimental design excludes classical electromagnetic fields as the mediating force. These findings suggest the presence of a long-range, collective phenomenon in ferrofluids, opening new avenues for investigating complex interactions in colloidal systems.

Indexed as

Coherent statesColloidal entanglementFerrofluidLearningMicrowave impedance spectroscopy

Identifiers

PMID41936604
PMCPMC13216242

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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.