Evidence map›Paper›PMID 41243671›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Nature-Inspired Innovation in Electrical Engineering Technologies and Applications.

Ming Li, Anran Mao, Qingwen Guan, Yang Xu, Chang Li, Gang Lu, Eduardo Saiz

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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. Nature-Inspired Innovation in Electrical Engineering Technologies and Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

7 authors.

Ming LiCentre of Advanced Structural Ceramics, Department of Materials, Imperial College London, London, SW7 2AZ, UK.ORCID https://orcid.org/0000-0002-9564-7522
Anran MaoDepartment of Fibre and Polymer Technology, KTH Royal Institute of Technology, Teknikringen 56, Stockholm, 100 44, Sweden.
Qingwen GuanSchool of Chemistry, University of Glasgow, Glasgow, G12 8QQ, UK.
Yang XuDepartment of Data and Systems Engineering, The University of Hong Kong, Hong Kong, 999077, China.
Chang LiInnovation Center for Textile Science and Technology, Donghua University, Shanghai, 201620, P. R. China.
Gang LuDepartment of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Eduardo SaizCentre of Advanced Structural Ceramics, Department of Materials, Imperial College London, London, SW7 2AZ, UK.ORCID https://orcid.org/0000-0002-2127-7282

Funding

Advanced Materials-National Science and Technology Major Project 2025ZD0612302China Scholarship Council 202006440011Fundamental Research Funds for the Central Universities 2232024D-06Manufacture Using Advanced Powder Processes MAPP EP/P006566President's PhD Scholarship 01790264Shanghai Magnolia Talent Plan Pujiangthe Research Grants Council Early Career Scheme 27209725UM Talent Programme 501337-4University of Hong Kong 132621
6 · The paper itself

Abstract

In the rapidly evolving field of science and technology, biomimetic design has emerged as a transformative force in electrical engineering. Leveraging insights from natural evolution, biomimetic methodologies significantly enhance equipment performance and overall system efficiency. This review explores several key functional mechanisms, such as multimodal sensing, energy conversion, and adaptive drive, and showcases state-of-the-art applications. These include biomimetic sensors and detection systems that mimic natural entities like human epidermis, arachnid receptors, and the complex eyes of insects; actuation and robotic systems inspired by the flexible limbs of octopuses, the versatility of elephant trunks, and the cooperative dynamics of ant colonies; as well as renewable energy technologies derived from plant photosynthesis and microbial energy processes, illustrating their potential to transcend traditional engineering boundaries. This biomimetic design not only advances sensor technology, energy harvesting, and adaptive robotics but also holds revolutionary potential for neuromorphic computing and advanced information processing systems. Additionally, the integration of artificial intelligence in these domains, along with their applications in healthcare, environmental monitoring, and human-computer interaction, is discussed. This work underscores the critical integration of natural inspirations with modern engineering to enhance performance and sustainability, offering insights into the future of biomimetic design in electrical engineering.

Indexed as

BiomimeticsAnimalsArtificial IntelligenceHumansRoboticsadaptive roboticsbiomimetic designelectrical engineeringenergy harvestingmultimodal sensing

Identifiers

PMID41243671
PMCPMC12752649

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.