Evidence map›Paper›PMID 42091605›Full record

ArticleNature communications2026

Highly sensitive microphones based on large freestanding reduced graphene oxide membranes.

Guanzhong Zhao, Yuebin Zheng, Chang Liu, Qin Zhou, Yuhua Ma, Zhaoyi Wan, Mingyan Dai, Haoru Zhu, Enze Tian, Kangwen Zhao and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2026. 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. 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

15 authors.

Guanzhong Zhao *State Key Lab for Mesoscopic Physics, Frontiers Science Centre for Nano-optoelectronics, School of Physics, Peking University, Beijing, China.ORCID http://orcid.org/0009-0002-5542-8541
Yuebin Zheng *Tsientang Institute for Advanced Study, Hangzhou, China.ORCID http://orcid.org/0009-0004-6865-0349
Chang Liu *International Centre for Quantum Materials, Collaborative Innovation Centre of Quantum Matter, Peking University, Beijing, China. liu.chang@pku.edu.cn.ORCID http://orcid.org/0000-0002-6273-6465
Qin Zhou *Shanghai Yingxin Resonance Electromechanical Technology Co., Ltd., Shanghai, China.ORCID http://orcid.org/0000-0001-6534-809X
Yuhua Ma *Songshan Lake Materials Laboratory, Dongguan, China.
Zhaoyi WanInternational Centre for Quantum Materials, Collaborative Innovation Centre of Quantum Matter, Peking University, Beijing, China.
Mingyan DaiSongshan Lake Materials Laboratory, Dongguan, China.
Haoru ZhuSongshan Lake Materials Laboratory, Dongguan, China.
Enze TianDongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan, China.ORCID http://orcid.org/0000-0001-6410-5360
Kangwen ZhaoSongshan Lake Materials Laboratory, Dongguan, China.
Xu ZhouGuangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics, South China Normal University, Guangzhou, China.ORCID http://orcid.org/0000-0003-3318-8735
Hao HongState Key Lab for Mesoscopic Physics, Frontiers Science Centre for Nano-optoelectronics, School of Physics, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-0641-1340
Enge WangTsientang Institute for Advanced Study, Hangzhou, China. egwang@pku.edu.cn.ORCID http://orcid.org/0000-0001-5624-5320
Kehai LiuTsientang Institute for Advanced Study, Hangzhou, China. khliu@tias.ac.cn.ORCID http://orcid.org/0009-0006-3935-4721
Kaihui LiuState Key Lab for Mesoscopic Physics, Frontiers Science Centre for Nano-optoelectronics, School of Physics, Peking University, Beijing, China. khliu@pku.edu.cn.ORCID http://orcid.org/0000-0002-8781-2495

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highly sensitive acoustic sensing devices are essential for human‒machine interfaces and modern advanced artificial intelligence (AI) technology. Two-dimensional (2D) materials exhibiting atomically thin thickness and superior mechanical properties are, in principle, ideal membranes for ultimate acoustic sensing. In this work, we present an ultrasensitive microphone using large freestanding reduced graphene oxide (rGO) membranes. The membranes were suspended by a designed pressure-assisted double transfer strategy, resulting in a diameter-to-thickness ratio of ~ 10

Identifiers

PMID42091605
PMCPMC13357591

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Registered trials

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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.