Evidence map›Paper›PMID 35487900›Full record

ArticleNature communications2022

Nonlinearity-mediated digitization and amplification in electromechanical phonon-cavity systems.

Tongqiao Miao, Xin Zhou, Xuezhong Wu, Qingsong Li, Zhanqiang Hou, Xiaoping Hu, Zenghui Wang, Dingbang Xiao

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Optically Driven Formation of Tailored Phonon Cavities.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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4 · The record

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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.

Tongqiao MiaoCollege of Intelligence Science, National University of Defense Technology, 410073, Changsha, China.ORCID http://orcid.org/0000-0002-7521-9002
Xin ZhouCollege of Intelligence Science, National University of Defense Technology, 410073, Changsha, China.
Xuezhong WuCollege of Intelligence Science, National University of Defense Technology, 410073, Changsha, China.
Qingsong LiCollege of Intelligence Science, National University of Defense Technology, 410073, Changsha, China.
Zhanqiang HouCollege of Intelligence Science, National University of Defense Technology, 410073, Changsha, China.
Xiaoping HuCollege of Intelligence Science, National University of Defense Technology, 410073, Changsha, China.
Zenghui WangInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, 610054, Chengdu, China. zenghui.wang@uestc.edu.cn.ORCID http://orcid.org/0000-0003-3743-7567
Dingbang XiaoCollege of Intelligence Science, National University of Defense Technology, 410073, Changsha, China. dingbangxiao@nudt.edu.cn.ORCID http://orcid.org/0000-0002-1591-7220

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electromechanical phonon-cavity systems are man-made micro-structures, in which vibrational energy can be coherently transferred between different degrees of freedom. In such devices, the energy transfer direction and coupling strength can be parametrically controlled, offering great opportunities for both fundamental studies and practical applications such as phonon manipulation and sensing. However, to date the investigation of such systems has largely been limited to linear vibrations, while their responses in the nonlinear regime remain yet to be explored. Here, we demonstrate nonlinear operation of electromechanical phonon-cavity systems, and show that the resonant response differs drastically from that in the linear regime. We further demonstrate that by controlling the parametric pump, one can achieve nonlinearity-mediated digitization and amplification in the frequency domain, which can be exploited to build high-performance MEMS sensing devices based on phonon-cavity systems. Our findings offer intriguing opportunities for creating frequency-shift-based sensors and transducers.

Identifiers

PMID35487900
PMCPMC9054851

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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.