Quantitative modeling of the non-monotonic sensitivity of defect-engineered graphene sensors.

Sunmog Yeo, Junhyeok Seo, Young Jun Yoon, Kibeom Kim

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Article in Scientific reports, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sunmog Yeo *Korea Multipurpose Accelerator Complex, Korea Atomic Energy Research Institute, Gyeongju, Gyeongbuk, 38180, Republic of Korea.

Junhyeok Seo *Korea Multipurpose Accelerator Complex, Korea Atomic Energy Research Institute, Gyeongju, Gyeongbuk, 38180, Republic of Korea.

Young Jun YoonSchool of Electronic & Mechanical Engineering, Gyeongkuk National University, Andong, 36729, Republic of Korea. yjyoon@gknu.ac.kr.

Kibeom KimDepartment of Electronic Engineering, Soonchunhyang University, Asan, 31538, Republic of Korea. kbkim@sch.ac.kr.

Funding

This work was supported by the Korea Multi-purpose Accelerator Complex and the Korea Atomic Energy Research Institute (KAERI) Institutional Program 524330-25

6 · The paper itself

Abstract

Defect engineering has been explored as a means to improve the performance of graphene-based gas sensors. However, sensor sensitivity often exhibits a non-monotonic relationship with defect density, presenting challenges for device optimization. In this study, we introduce a quantitative physical model aimed at describing and explaining this behavior. Graphene samples were irradiated with deuteron ions to generate a controlled range of defect densities, which were characterized using Raman spectroscopy. Sensitivity to hydrogen showed a Λ-shaped dependence on defect density, with a peak response observed at an intermediate concentration. This behavior is attributed to the competing effects of signal enhancement and structural degradation induced by defects. The proposed model expresses sensitivity as a function of two experimentally derived parameters: an activation coefficient (C

Indexed as

Defect engineeringGas sensorGrapheneIon beam irradiationNon-monotonic behaviorQuantitative model

Identifiers

PMID41276582

DOI10.1038/s41598-025-27734-y

PMCPMC12711882

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LicenceCC BY-NC-ND

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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.