Evidence map›Paper›PMID 41258345›Full record

ArticleScientific reports2025

Computational magnetic metasurfaces in the low radiofrequency regime.

Alessandro Dellabate, Agostino Monorchio, Danilo Brizi

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

3 authors.

Alessandro DellabateDepartment of Information Engineering, University of Pisa, Pisa, 56122, Italy. alessandro.dellabate@phd.unipi.it.
Agostino MonorchioDepartment of Information Engineering, University of Pisa, Pisa, 56122, Italy.
Danilo BriziDepartment of Information Engineering, University of Pisa, Pisa, 56122, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper introduces the concept of magnetic metasurfaces able to perform computational tasks in the low radiofrequency regime by exploiting inductive coupling. Two different scenarios are conceived to demonstrate the capabilities of the proposed approach. The first one consists of a magnetic metasurface evaluating the linear combination with arbitrary coefficients of two input currents. Instead, the second example is meant to extract specific harmonics from a periodic input signal. Analytical models based on the circuital theory were firstly derived to properly design the computational core, i.e. the metasurface, for the above mentioned tasks. Then, the theoretical expectations were validated through accurate full-wave simulations and experimental measures carried out on fabricated prototypes. In terms of the manufacturing process, two different techniques were employed. Specifically, the solenoid unit cells used for the linear combination case were realized by appropriately winding single-strand copper wires, while the metasurface for harmonic extraction was implemented using PCB technology. Promising results were obtained, with root mean squared experimental errors not exceeding ideal computations by more than 18.3% in both the test cases. Notably, the proposed computational metasurfaces are characterized by easy and low-cost fabrication processes, and they can be reconfigured through digitally tunable capacitors, further enlarging the span of computational tasks achievable with the same hardware arrangement. Consequently, the developed technology constitutes a valid alternative within computational analog methodologies, opening the path to an innovative and effective way to perform complex calculations.

Identifiers

PMID41258345
PMCPMC12630645

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.