Evidence map›Paper›PMID 42237013›Full record

ReviewNano-micro letters2026

Triboelectric Nanogenerators in Military: Recent Progress and Critical Challenges.

Changcheng Bao, Xiaoxia Ma, Min He, Li Yang, Yingting Wang

Abstract readReview
In one paragraph

Review in Nano-micro letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Changcheng BaoSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Xiaoxia MaSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, People's Republic of China. maxiaoxia@bit.edu.cn.
Min HeSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Li YangSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Yingting WangThe Institute of Precision Machinery and Smart Structure, College of Engineering, Zhejiang Normal University, Yingbin Street 688, Jinhua, 321004, People's Republic of China. wangyingting@zjnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid evolution of modern warfare toward distributed, intelligent, and global stealth has posed severe energy supply and information perception bottlenecks for combat nodes. Traditional energy supply strategies are unable to meet the strategic needs of long-range stealth operations and extreme environmental survival. Triboelectric nanogenerators provide a disruptive path for constructing self-sustaining military microsystems with high-efficiency and zero-power-sensing characteristics. This review establishes a comprehensive framework that systematically evaluates recent technological advances across an escalating hierarchy, encompassing individual soldier combat platforms, unmanned combat systems, strategic aerospace equipment, and special tactical scenarios. Crucially, moving beyond generic laboratory demonstrations, this review adopts a rigorous defense engineering perspective by conducting an integrated failure mode analysis to evaluate device degradation under severe battlefield stressors. Furthermore, it critically analyzes the primary engineering bottlenecks currently hindering military adoption, such as inherent impedance mismatch and scalable manufacturing barriers, and proposes targeted mitigation strategies. To systematically validate these solutions, we explicitly propose a concise evaluation framework strictly aligned with established military testing protocols. Ultimately, this review outlines several forward-looking strategic priorities, thereby constructing a highly actionable roadmap to accelerate the practical deployment of self-driven intelligent technologies.

Indexed as

Energy harvestingMilitarySelf-powered sensingTriboelectric nanogenerator (TENG)

Identifiers

PMID42237013
PMCPMC13234093

What OpenQuestion holds

Textmetadata
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.