Junyeong Lee
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Junyeong Lee has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Chang-Ju Lee
School of Electronics Engineering, College of IT Engineering, Kyungpook National University, Daegu 41566, Korea
1 shared publication - Hongsik Park
Kyungpook National University
1 shared publication - Hyowoong Noh
School of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Korea
1 shared publication - Jaewoon Kang
School of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Korea
1 shared publication - Jiyeong Yun
School of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Korea
1 shared publication - Jonghoo Park
School of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Republic of Korea
1 shared publication
Latest Publications
- Open Access
- 9 January 2022
- Published by MDPI AG in Nanomaterials
- Vol. 12 (2) , 206
Simultaneous Extraction of the Grain Size, Single-Crystalline Grain Sheet Resistance, and Grain Boundary Resistivity of Polycrystalline Monolayer Graphene
The electrical properties of polycrystalline graphene grown by chemical vapor deposition (CVD) are determined by grain-related parameters—average grain size, single-crystalline grain sheet resistance, and grain boundary (GB) resistivity. However, extracting these parameters still remains challenging because of the difficulty in observing graphene GBs and decoupling the grain sheet resistance and GB resistivity. In this work, we developed an electrical characterization method that can extract the average grain size, single-crystalline grain sheet resistance, and GB resistivity simultaneously. We observed that the material property, graphene sheet resistance, could depend on the device dimension and developed an analytical resistance model based on the cumulative distribution function of the gamma distribution, explaining the effect of the GB density and distribution in the graphene channel. We applied this model to CVD-grown monolayer graphene by characterizing transmission-line model patterns and simultaneously extracted the average grain size (~5.95 μm), single-crystalline grain sheet resistance (~321 Ω/sq), and GB resistivity (~18.16 kΩ-μm) of the CVD-graphene layer. The extracted values agreed well with those obtained from scanning electron microscopy images of ultraviolet/ozone-treated GBs and the electrical characterization of graphene devices with sub-micrometer channel lengths.
- 9 January 2022
- Published by MDPI AG in Nanomaterials
- Vol. 12 (2) , 206
Open AccessSimultaneous Extraction of the Grain Size, Single-Crystalline Grain Sheet Resistance, and Grain Boundary Resistivity of Polycrystalline Monolayer Graphene
The electrical properties of polycrystalline graphene grown by chemical vapor deposition (CVD) are determined by grain-related parameters—average grain size, single-crystalline grain sheet resistance, and grain boundary (GB) resistivity. However, extracting these parameters still remains challenging because of the difficulty in observing graphene GBs and decoupling the grain sheet resistance and GB resistivity. In this work, we developed an electrical characterization method that can extract the average grain size, single-crystalline grain sheet resistance, and GB resistivity simultaneously. We observed that the material property, graphene sheet resistance, could depend on the device dimension and developed an analytical resistance model based on the cumulative distribution function of the gamma distribution, explaining the effect of the GB density and distribution in the graphene channel. We applied this model to CVD-grown monolayer graphene by characterizing transmission-line model patterns and simultaneously extracted the average grain size (~5.95 μm), single-crystalline grain sheet resistance (~321 Ω/sq), and GB resistivity (~18.16 kΩ-μm) of the CVD-graphene layer. The extracted values agreed well with those obtained from scanning electron microscopy images of ultraviolet/ozone-treated GBs and the electrical characterization of graphene devices with sub-micrometer channel lengths.