Evidence map›Paper›PMID 40364672›Full record

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

Harnessing Dynamic Electrostatic Fields for Energy Generation with Diode Cells.

Renyun Zhang, Magnus Hummelgård, Ye Xu, Martin Olsen, Jonas Örtegren, Göran Thungström, Henrik Andersson, Zhong Lin Wang

Abstract read
In one paragraph

Article 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. Harnessing Dynamic Electrostatic Fields for Energy Generation with Diode Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

8 authors.

Renyun ZhangDepartment of Engineering, Mathematics, and Science Education, Mid Sweden University, Sundsvall, SE 85170, Sweden.ORCID https://orcid.org/0000-0003-2873-7875
Magnus HummelgårdDepartment of Engineering, Mathematics, and Science Education, Mid Sweden University, Sundsvall, SE 85170, Sweden.
Ye XuDepartment of Computer and Electrical Engineering, Mid Sweden University, Sundsvall, SE 85170, Sweden.
Martin OlsenDepartment of Engineering, Mathematics, and Science Education, Mid Sweden University, Sundsvall, SE 85170, Sweden.
Jonas ÖrtegrenDepartment of Engineering, Mathematics, and Science Education, Mid Sweden University, Sundsvall, SE 85170, Sweden.
Göran ThungströmDepartment of Engineering, Mathematics, and Science Education, Mid Sweden University, Sundsvall, SE 85170, Sweden.
Henrik AnderssonDepartment of Engineering, Mathematics, and Science Education, Mid Sweden University, Sundsvall, SE 85170, Sweden.
Zhong Lin WangBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Harvesting energy from distributed mechanical motions has garnered significance in future power sources for small electronics and sensors. Although technologies like triboelectric nanogenerators have shown promising results, their efficacy hinges on the alignment of motion vectors and device architectures. Here, an approach employing stationary diode cells (DiCes) to generate electricity is presented. This approach leverages dynamically changing electrostatic fields to induce potential differences across diode junctions via electrostatic induction, which is verified theoretically and experimentally. DiCes constructed with multiple diodes can directly output DC voltage and current. A 0.02 m

Indexed as

diode cellselectrostatic fieldsenergy harvestingimplanted sensors

Identifiers

PMID40364672
PMCPMC12302571

What OpenQuestion holds

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LicenceCC BY
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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.