Se-Jun Kim
KAIST
4 Papers
Se-Jun Kim is an academic researcher from KAIST. The author has contributed to research in topics: Electron mobility & Semiconductor. The author has an hindex of 3, co-authored 4 publications.
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Papers
Redirecting dynamic surface restructuring of a layered transition metal oxide catalyst for superior water oxidation
Jian Wang,Se-Jun Kim,Jiapeng Liu,Yang Gao,Subin Choi,Jeong Woo Han,Hyeyoung Shin,Sugeun Jo,Juwon Kim,Francesco Ciucci,Hwiho Kim,Qingtian Li,Wanli Yang,Xia Long,Shihe Yang,Sung-Pyo Cho,Keun Hwa Chae,Min Gyu Kim,Hyungjun Kim,Jongwoo Lim +19 more
- 01 Mar 2021
TL;DR: In this paper, a cationic redox-tuning method was proposed to modulate in situ catalyst leaching and to redirect the dynamic surface restructuring of layered LiCoO2−xClx (x = 0, 0.1 or 0.2), for the electrochemical oxygen evolution reaction (OER).
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Selective electrochemical reduction of nitric oxide to hydroxylamine by atomically dispersed iron catalyst.
Donghyun Kim,Stefan Ringe,Haesol Kim,Se-Jun Kim,B. Kim,Geunsu Bae,Hyung Suk Oh,Frédéric Jaouen,Wooyul Kim,Hyungjun Kim,Chang Hyuck Choi +10 more
TL;DR: In this article, an efficient and durable electrocatalyst for selective nitric oxide reduction into hydroxylamine was proposed. But the performance of this method was limited by the redox active property of NO, which makes the NO adsorbate state more sensitive to surface charge.
High-performance p-channel transistors with transparent Zn doped-CuI.
TL;DR: This study proposes a doping approach through soft chemical solution process and transparent p-type Zn-doped CuI semiconductor for high-performance TFTs and circuits and paves the way for the realisation of transparent, flexible, and large-area integrated circuits combined with n-type metal-oxide semiconductor.
Multilayer Conductive Hybrid Nanosheets as Versatile Hybridization Matrices for Optimizing the Defect Structure, Structural Ordering, and Energy-Functionality of Nanostructured Materials
TL;DR: In this article, a novel synthetic strategy is developed to optimize the defect structure, structural ordering, and energy-related functionality of nanostructured-materials by employing a multilayer multicomponent two-dimenstional (2D) graphene/metal oxide/graphene nanosheet (NS) as a versatile hybridization matrix.