Evidence map›Paper›PMID 42384611›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Self-Powered MXene@Perovskite Thermoelectric Skin for Multimodal Mid-Infrared Sensing and Human Signal Recognition.

Qiang Wang, Yinghao Zhao, Xiaoyue Wang, Yiqiang Li, Gen Li, Xiaojuan Cao, Xiaonan He, Yuankun Zhang, Fei Chen, Lixue Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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

10 authors.

Qiang WangCollege of New Materials and Chemical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China.
Yinghao ZhaoCollege of New Materials and Chemical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China.
Xiaoyue WangCollege of New Materials and Chemical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China.
Yiqiang LiCollege of New Materials and Chemical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China.
Gen LiCollege of New Materials and Chemical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China.
Xiaojuan CaoCollege of New Materials and Chemical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China.
Xiaonan HeCollege of New Materials and Chemical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China.
Yuankun ZhangSchool of Printing and Packaging Engineering, Beijing Institute of Graphic Communication, Beijing, China.
Fei ChenCollege of New Materials and Chemical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China.
Lixue YangSchool of Printing and Packaging Engineering, Beijing Institute of Graphic Communication, Beijing, China.

Funding

Beijing Institute of Graphic Communication Eb202402Beijing Municipal Education Commission 22019821001Beijing Municipal Education Commission KM202110017003
6 · The paper itself

Abstract

The effective detection of human thermal radiation (8-14 µm) was critical for next-generation human-machine interactions (HMIs). However, conventional mid-infrared sensors were typically constrained by external power requirements and limited capability in decoding complex multimodal signals. Here, we developed a bio-inspired, self-powered thermoelectric skin based on a V

Indexed as

Calcium CompoundsInfrared RaysOxidesSkinTitaniumHumansNitritesSurface Plasmon ResonanceTransition ElementsCalcium CompoundsMXeneNitritesOxidesperovskiteTitaniumTransition ElementsCsPbBr3human signal recognitionmid‐infrared sensorMXenethermoelectric skin

Identifiers

PMID42384611
PMCPMC13485011

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.