Evidence map›Paper›PMID 41781662›Full record

ArticleScientific reports2026

Investigation of TID-induced capacitance variation in GaAs edge-lift capacitors and its effect on RF impedance matching.

Min-Su Kim, Hyeon Jun Hwang, Chang Goo Kang, Jeong Min Park

Abstract read
In one paragraph

Article in Scientific reports, 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

4 authors.

Min-Su KimDepartment of Semiconductor Engineering, Mokpo National University, Jeonnam, 58554, Korea. msmy970@mnu.ac.kr.
Hyeon Jun HwangDepartment of Semiconductor Engineering, Mokpo National University, Jeonnam, 58554, Korea.
Chang Goo KangAdvanced Radiation Technology Institute, KAERI, Daejeon, 56212, Jeonbuk, Korea.
Jeong Min ParkAdvanced Radiation Technology Institute, KAERI, Daejeon, 56212, Jeonbuk, Korea.

Funding

Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education RS-2025-25398164the Regional Innovation System & Education (RISE) program through the Jeollanamdo RISE Center, funded by the Ministry of Education (MOE) and the Jeollanamdo 2025-RISE-14-001
6 · The paper itself

Abstract

This paper investigates the total ionizing dose response of passive components fabricated in a commercial GaAs process, with a focus on dose-dependent capacitance variation in fringe-field–dominant structures. Measurements indicate that the edge-lift capacitor exhibits the highest total ionizing dose(TID) sensitivity, with its effective capacitance increasing from 7.65 pF to 22.96 pF after 300 krad(Si) irradiation at 10 GHz. This behavior is consistently reproduced in electromagnetic simulations by increasing the relative permittivity of the SiN dielectric from its nominal value of 6.9 to 8.5, enabling a radiation-equivalent dielectric modeling approach. When applied to an RF amplifier matching network, the TID-induced capacitance variation shifts the input impedance from 43.75 + j27.15 Ω to 33.8 + j5.35 Ω, accompanied by degradation in gain and noise performance. These results demonstrate that TID-induced dielectric property changes in GaAs passive components can be effectively captured using radiation-equivalent electromagnetic modeling and can significantly impact RF circuit performance.

Indexed as

Dielectric permittivityEdge-lift capacitor (ELC)Electromagnetic (EM) modelingGaAs MMIC passive componentsImpedance matching networkTotal ionizing dose (TID)

Identifiers

PMID41781662
PMCPMC13076635

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.