Evidence map›Paper›PMID 40717681›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2025

Ultra-High Sensitivity, Wide-Range Thermometry Based on High-Quality Microscale Diamond Resonators.

Wen Zhao, Guo Chen, Tokuyuki Teraji, Yasuo Koide, Masaya Toda, Meiyong Liao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Wen ZhaoResearch Center for Electronic and Optical Materials, National Institute for Materials Science, Namiki 1-1, Tsukuba, Ibaraki, 305-0044, Japan.
Guo ChenResearch Center for Electronic and Optical Materials, National Institute for Materials Science, Namiki 1-1, Tsukuba, Ibaraki, 305-0044, Japan.
Tokuyuki TerajiResearch Center for Electronic and Optical Materials, National Institute for Materials Science, Namiki 1-1, Tsukuba, Ibaraki, 305-0044, Japan.
Yasuo KoideResearch Center for Electronic and Optical Materials, National Institute for Materials Science, Namiki 1-1, Tsukuba, Ibaraki, 305-0044, Japan.
Masaya TodaGraduate School of Engineering, Tohoku University, Sendai, Miyagi, 980-8579, Japan.
Meiyong LiaoResearch Center for Electronic and Optical Materials, National Institute for Materials Science, Namiki 1-1, Tsukuba, Ibaraki, 305-0044, Japan.ORCID https://orcid.org/0000-0003-1361-4266

Funding

ARIM JPMXP1223NM5297JSPS KAKENHI 24KF0085 24H00287 22K18957
6 · The paper itself

Abstract

Next-generation thermometry requires ultrahigh temperature sensitivity, precision, and microscale or nanoscale spatial resolution for bio-calorimetry, optoelectronic sensing, quantum science, energy storage, and thermal management of electronic devices. Current thermometry approaches based on thermocouple, resistive, and optical mechanisms suffer from various problems such as large volume, low resolution, high noise level, and narrow temperature range. Microelectromechanical system (MEMS) resonators hold great potential as thermometry due to the small size, batch fabrication, and facile integration with electrical circuits. However, mainstream silicon MEMS thermometry struggles with the trade-off between responsivity, temperature resolution, and sensitivity. In this work, we utilize the highest crystal quality single-crystal diamond and multi-mode resonance for MEMS cantilever thermometry to address these challenges. The resulting diamond MEMS thermometry exhibits unparalleled performance, with an ultra-high sensitivity of ≈22 nK

Indexed as

diamondlow noiseMEMSthermometryultra‐high resolution

Identifiers

PMID40717681
PMCPMC12548502

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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.