Evidence map›Paper›PMID 42513054›Full record

ReviewMicromachines2026

Performance Evolution and Research Progress of Silicon Carbide Sensors in Radiation Environments: A Review.

Yan Liu, Yongxin Deng, Quanwei Zhang, Huafeng Li, Jue Wang, Yuan Wang, Fabin Cheng, Haijun Han, Peng Zhang

Abstract readReview
In one paragraph

Review in Micromachines, 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.

Yan LiuInstitute of Systems Engineering, China Academy of Engineering Physics, Mianyang 621900, China.
Yongxin DengInstitute of Systems Engineering, China Academy of Engineering Physics, Mianyang 621900, China.
Quanwei ZhangInstitute of Systems Engineering, China Academy of Engineering Physics, Mianyang 621900, China.ORCID 0000-0001-7541-7917
Huafeng LiInstitute of Systems Engineering, China Academy of Engineering Physics, Mianyang 621900, China.
Jue WangInstitute of Systems Engineering, China Academy of Engineering Physics, Mianyang 621900, China.
Yuan WangInstitute of Systems Engineering, China Academy of Engineering Physics, Mianyang 621900, China.
Fabin ChengInstitute of Systems Engineering, China Academy of Engineering Physics, Mianyang 621900, China.
Haijun HanInstitute of Systems Engineering, China Academy of Engineering Physics, Mianyang 621900, China.
Peng ZhangInstitute of Systems Engineering, China Academy of Engineering Physics, Mianyang 621900, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Silicon carbide (SiC), a third-generation wide-bandgap semiconductor, demonstrates prominent application advantages for extreme-environment sensing scenarios including deep-space exploration, nuclear reactor monitoring, and fusion device diagnosis, which benefit from its excellent radiation resistance, high-temperature stability, and chemical inertness. This review systematically investigates the action mechanisms of different radiation environments on the electrical and mechanical properties of SiC-based sensors, with emphasis on the regulatory effects of radiation-induced defects on key sensing parameters, including piezoresistive properties, charge-collection efficiency, leakage current, and sensitivity. In addition, this paper discusses the response behavior and research progress of SiC sensors applied in mixed radiation fields. Existing research confirms that although high-fluence radiation can induce lattice defects and further result in the degradation of SiC sensor sensing performance, SiC still retains remarkable advantages in intrinsic radiation resistance. The sensing reliability of SiC in extreme environments can be further improved via device-structure optimization and material-modification strategies. This review is expected to provide a theoretical reference for the development and design of SiC sensors applied in advanced nuclear energy, aerospace, and nuclear medicine fields.

Indexed as

radiation damageradiation environmentsensing performanceSiC

Identifiers

PMID42513054
PMCPMC13413881

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.