Evidence map›Paper›PMID 41603101›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

AI-Optimized Vanadium Oxide Multilayers for More Than 20-fold Enhancement in Bolometric Performance.

Jin-Hyun Choi, Hyoung-Taek Lee, Jeonghoon Kim, Miju Park, Seungjoon Sun, Gye-Hyeon Kim, Myung-Ho Kwon, Hyeong-Ryeol Park, Changhee Sohn

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

9 authors.

Jin-Hyun ChoiDepartment of Physics, Ulsan National Institute of Science & Technology, Ulsan, Republic of Korea.
Hyoung-Taek LeeDepartment of Physics, Ulsan National Institute of Science & Technology, Ulsan, Republic of Korea.
Jeonghoon KimDepartment of Physics, Ulsan National Institute of Science & Technology, Ulsan, Republic of Korea.
Miju ParkDepartment of Physics, Ulsan National Institute of Science & Technology, Ulsan, Republic of Korea.
Seungjoon SunDepartment of Physics, Ulsan National Institute of Science & Technology, Ulsan, Republic of Korea.
Gye-Hyeon KimDepartment of Physics, Ulsan National Institute of Science & Technology, Ulsan, Republic of Korea.
Myung-Ho Kwoni3system Company, Daejeon, Republic of Korea.
Hyeong-Ryeol ParkDepartment of Physics, Ulsan National Institute of Science & Technology, Ulsan, Republic of Korea.
Changhee SohnDepartment of Physics, Ulsan National Institute of Science & Technology, Ulsan, Republic of Korea.ORCID https://orcid.org/0000-0002-5043-497X

Funding

Institute of Information and Communications Technology Planning and Evaluation IITP-2023-RS-2023-00259676Ministry of Science and ICT NRF-2022M3H4A1A04096465(RS-2022-NR068230)Ministry of Science and ICT RS-2024-00353252Ministry of Science and ICT RS-2025-02272971National Research Foundation of Korea
6 · The paper itself

Abstract

Phase-transition materials such as vanadium dioxide (VO

Indexed as

machine learningmetal‐insulator transitionmicrobolometersphase‐transition materialsvanadium oxides

Identifiers

PMID41603101
PMCPMC13045228

What OpenQuestion holds

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Registered trials

None linked

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.