Evidence map›Paper›PMID 42866330›Full record

ArticleNanoscale advances2026

AlGaAs-on-insulator microresonators satisfying broadband phase matching for longwave infrared spectral upconversion.

Xiaobao Zhang, Yifei Feng, Runze Tian, Xiaoyu Liu, Yulong He, Baicheng Yao, Teng Tan, Ride Wang

Abstract read
In one paragraph

Article in Nanoscale 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.

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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

8 authors.

Xiaobao ZhangInnovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology Beijing 100071 China wangride@mail.nankai.edu.cn.
Yifei FengInnovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology Beijing 100071 China wangride@mail.nankai.edu.cn.
Runze TianInnovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology Beijing 100071 China wangride@mail.nankai.edu.cn.
Xiaoyu LiuInnovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology Beijing 100071 China wangride@mail.nankai.edu.cn.
Yulong HeCollege of Advanced Interdisciplinary Studies, National University of Defense Technology Changsha 410073 China yulonghe1993@163.com.
Baicheng YaoKey Laboratory of Optical Fibre Sensing and Communications (Education Ministry of China), University of Electronic Science and Technology of China Chengdu 611731 China taurus_tan@uestc.edu.cn.
Teng TanKey Laboratory of Optical Fibre Sensing and Communications (Education Ministry of China), University of Electronic Science and Technology of China Chengdu 611731 China taurus_tan@uestc.edu.cn.
Ride WangInnovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology Beijing 100071 China wangride@mail.nankai.edu.cn.ORCID https://orcid.org/0000-0002-7438-9392

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements in nonlinear optics have significantly revolutionized the field of integrated photonics, offering on-chip solutions for a diverse array of cutting-edge applications. The strategic implementation of second-order nonlinear interactions within compact devices not only enhances energy conversion efficiency but also unlocks novel operational paradigms, highlighting their potential for room-temperature longwave infrared detection at the single-photon level. In this study, we present spectral frequency upconversion from the longwave infrared (LWIR) to the near-infrared (NIR) regime, utilizing specifically designed AlGaAs-on-insulator (AlGaAsOI) microresonators. By developing a comprehensive theoretical framework for the

Identifiers

PMID42866330
PMCPMC13656028

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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.