Evidence map›Paper›PMID 37829570›Full record

ArticleAdvanced engineering materials2023

Transmissive Labyrinthine Acoustic Metamaterial-Based Holography for Extraordinary Energy Harvesting.

Shubhi Bansal, Christabel Choi, James Hardwick, Biswajoy Bagchi, Manish K Tiwari, Sriram Subramanian

Abstract read
In one paragraph

Article in Advanced engineering materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Self-Powered Frequency-Selective Acoustic Sensor Based on Bound States in the Continuum.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  3. Article
  4. Advanced Ultrasound Energy Transfer Technologies using Metamaterial Structures.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
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.

Shubhi BansalDepartment of Computer Science Faculty of Engineering University College London London WC1E 6BT UK.ORCID 0000-0002-5094-1517
Christabel ChoiDepartment of Computer Science Faculty of Engineering University College London London WC1E 6BT UK.ORCID 0000-0002-2268-0997
James HardwickDepartment of Computer Science Faculty of Engineering University College London London WC1E 6BT UK.ORCID 0000-0003-2823-0548
Biswajoy BagchiWellcome/EPSRC Centre for Interventional and Surgical Sciences University College London London W1W 7TS UK.ORCID 0000-0003-3942-5236
Manish K TiwariWellcome/EPSRC Centre for Interventional and Surgical Sciences University College London London W1W 7TS UK.ORCID 0000-0001-5143-6881
Sriram SubramanianDepartment of Computer Science Faculty of Engineering University College London London WC1E 6BT UK.ORCID 0000-0002-5266-8366

Funding

Wellcome Trust
6 · The paper itself

Abstract

Conventional energy sources are continuously depleting, and the world is actively seeking new green and efficient energy solutions. Enormous amounts of acoustic energy are dissipated daily, but the low intensity and limited efficiency of current harvesting techniques are preventing its adoption as a ubiquitous method of power generation. Herein, a strategic solution to increase acoustic energy harvesting efficiency using a specially designed metamaterial is implemented. A scalable transmissive labyrinthine acoustic metamaterial (LAM) is designed, developed, and employed to maximize ultrasound (40 kHz) capture over its large surface area (>27 k mm

Indexed as

acousticenergyharvestingmetamaterialspiezoelectric

Identifiers

PMID37829570
PMCPMC10566638

What OpenQuestion holds

Textmetadata
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.