Evidence map›Paper›PMID 41861005›Full record

ArticleScience advances2026

Ultrasensitive soft vibration sensors based on atomically thin metal dichalcogenide ribbon networks.

Chengyi Xu, Xufan Li, Lukas Felix Michalek, Jaeho Park, Eunyoung Kim, Zhiyu Zhang, Raymond R Unocic, Eric Tianjiao Zhao, Wei-Chun Hsu, Baiyu Shi and 4 more

Abstract read
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In one paragraph

Article in Science advances, 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

14 authors.

Chengyi XuDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-7491-6295
Xufan LiHonda Research Institute USA Inc., San Jose, CA 95134, USA.ORCID 0000-0001-9814-0383
Lukas Felix MichalekDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-2257-5038
Jaeho ParkDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.
Eunyoung KimDepartment of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA.
Zhiyu ZhangDepartment of Engineering Science and Mechanics and Materials Research Institute, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0009-0001-8537-417X
Raymond R UnocicCenter for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.ORCID 0000-0002-1777-8228
Eric Tianjiao ZhaoDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-7196-2934
Wei-Chun HsuDepartment of Materials Science and Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-4949-0659
Baiyu ShiDepartment of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0009-0008-9580-981X
Shuang WuHonda Research Institute USA Inc., San Jose, CA 95134, USA.
Yang YangDepartment of Engineering Science and Mechanics and Materials Research Institute, The Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0002-0025-5914
Avetik R HarutyunyanHonda Research Institute USA Inc., San Jose, CA 95134, USA.ORCID 0000-0002-8056-5903
Zhenan BaoDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-0972-1715

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid progress of artificial intelligence (AI) and the internet of things (IoT) has driven growing demand for high-performance, skin-compatible vibration sensors capable of capturing subtle physiological and environmental signals. Low-dimensional materials offer unique advantages in sensitivity and flexibility, yet challenges remain in achieving high strain responsiveness, mechanical robustness, and large-area uniformity. Here, we report an ultrasensitive, low-profile, and stretchable vibration sensor based on large-area single-layer molybdenum disulfide (MoS

Identifiers

PMID41861005
PMCPMC13004019

What OpenQuestion holds

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LicenceCC BY-NC
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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.