Evidence map›Paper›PMID 42811111›Full record

ArticleNature nanotechnology2026

Stopped-light-enhanced gravitational force sensing.

Yicheng Zhu, Qi Geng, Boyi Xue, Yuncong Sun, Ruixiang Zhang, Xianfeng Chen, Xiaoshun Jiang, Farhan Azeem, Miguel Tierz, Wenjie Wan

Abstract read
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In one paragraph

Article in Nature nanotechnology, 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.

Yicheng ZhuState Key Laboratory of Photonics and Communications, Global College, Shanghai Jiao Tong University, Shanghai, China.ORCID http://orcid.org/0009-0007-3378-0399
Qi GengState Key Laboratory of Photonics and Communications, Global College, Shanghai Jiao Tong University, Shanghai, China.
Boyi XueState Key Laboratory of Photonics and Communications, Global College, Shanghai Jiao Tong University, Shanghai, China.
Yuncong SunState Key Laboratory of Photonics and Communications, Global College, Shanghai Jiao Tong University, Shanghai, China.
Ruixiang ZhangState Key Laboratory of Photonics and Communications, Global College, Shanghai Jiao Tong University, Shanghai, China.
Xianfeng ChenDepartment of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China.ORCID http://orcid.org/0000-0002-7574-2047
Xiaoshun JiangNational Laboratory of Solid State Microstructures, Nanjing University, Nanjing, China.
Farhan AzeemState Key Laboratory of Photonics and Communications, Global College, Shanghai Jiao Tong University, Shanghai, China.
Miguel TierzShanghai Institute for Mathematics and Interdisciplinary Sciences, Shanghai, China.
Wenjie WanState Key Laboratory of Photonics and Communications, Global College, Shanghai Jiao Tong University, Shanghai, China. wenjie.wan@sjtu.edu.cn.ORCID http://orcid.org/0000-0002-9743-3480

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the weakest fundamental force, gravity yields only small accelerations from millimetre-scale masses, making them difficult to detect. Detecting the gravitational fields of microscopic objects is important for microscale sensing, imaging or studies of the impact of the quantum state of an object on gravity. Cavendish-type torsion balances can sensitively measure gravity from small source masses, but their integration with micro- and nanophotonic readout remains challenging. Here we show gravitational-force sensing of a millimetre-sized mass using a torsion pendulum integrated with optical microcavity readout. A coupled photon-phonon resonance induces stopped light behaviour, reducing the group velocity to 2,000 m s

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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.