Evidence map›Paper›PMID 38680545›Full record

ArticleCell reports. Physical science2024

Trainable bioinspired magnetic sensitivity adaptation using ferromagnetic colloidal assemblies.

Xianhu Liu, Hongwei Tan, Emil Stråka, Xichen Hu, Min Chen, Sebastiaan van Dijken, Alberto Scacchi, Maria Sammalkorpi, Olli Ikkala, Bo Peng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports. Physical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Xianhu LiuDepartment of Applied Physics, Aalto University, P.O. Box 15100, 00076 Aalto, Finland.
Hongwei TanDepartment of Applied Physics, Aalto University, P.O. Box 15100, 00076 Aalto, Finland.
Emil StråkaDepartment of Chemistry and Materials Science, Aalto University, P.O. Box 16100, 00076 Aalto, Finland.
Xichen HuDepartment of Applied Physics, Aalto University, P.O. Box 15100, 00076 Aalto, Finland.
Min ChenDepartment of Materials Science, Advanced Coatings Research Center of Ministry of Education of China, Fudan University, Shanghai 200433, China.
Sebastiaan van DijkenDepartment of Applied Physics, Aalto University, P.O. Box 15100, 00076 Aalto, Finland.
Alberto ScacchiDepartment of Applied Physics, Aalto University, P.O. Box 15100, 00076 Aalto, Finland.
Maria SammalkorpiDepartment of Chemistry and Materials Science, Aalto University, P.O. Box 16100, 00076 Aalto, Finland.
Olli IkkalaDepartment of Applied Physics, Aalto University, P.O. Box 15100, 00076 Aalto, Finland.
Bo PengDepartment of Applied Physics, Aalto University, P.O. Box 15100, 00076 Aalto, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nature has already suggested bioinspired functions. Beyond them, adaptive and trainable functions could be the inspiration for novel responsive soft matter beyond the state-of-the-art classic static bioinspired, stimulus-responsive, and shape-memory materials. Here, we describe magnetic assembly/disassembly of electrically conducting soft ferromagnetic nickel colloidal particles into surface topographical pillars for bistable electrical trainable memories. They allow magnetic sensing with adaptable and rescalable sensitivity ranges, enabled by bistable memories and kinetic concepts inspired by biological sensory adaptations. Based on the soft ferromagnetism of the nanogranular composition and the resulting rough particle surfaces prepared via a solvothermal synthesis, triggerable structural memory is achieved by the magnetic field-driven particle assembly and disassembly, promoted by interparticle jamming. Electrical conversion from current to frequency for electrical spikes facilitates rescalable and trainable frequency-based sensitivity on magnetic fields. This work suggests an avenue for designing trainable and adaptable life-inspired materials, for example, for soft robotics and interactive autonomous devices.

Indexed as

adaptiveassemblybioinspiredjammingmagnetic particlessensingstructural memory

Identifiers

PMID38680545
PMCPMC11043831

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.