Seungjun Kim
고려대학교 공과대학 기계공학과 · 공학
이 연구실은 유연 전자소자, 특히 유연 메모리 및 구조물의 안정성 평가를 핵심으로 삼고 있습니다. 유연한 반도체 소자와 나노구조 소재를 활용한 고성능 메모리 장치 개발과 함께, 다리, 터널 등 구조물의 실시간 모니터링 및 붕괴 후 거동 분석을 위한 정량적 해석 기법을 연구하고 있습니다. 특히, 유연한 전자기기의 핵심 소자인 RRAM의 안정성 향상과 구조물의 수중 및 기계적 환경에서의 거동 제어 기술에 초점을 맞추고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
The demand for flexible electronic systems such as wearable computers, E-paper, and flexible displays has recently increased due to their advantages over present rigid electronic systems. Flexible memory is an essential part of electronic systems for data processing, storage, and communication and thus a key element to realize such flexible electronic systems. Although several emerging memory technologies, including resistive switching memory, have been proposed, the cell-to-cell interference is
Crossbar-structured memory comprising 32 × 32 arrays with one selector-one resistor (1S-1R) components are initially fabricated on a rigid substrate. They are transferred without mechanical damage via an inorganic-based laser lift-off (ILLO) process as a result of laser-material interaction. Addressing tests of the transferred memory arrays are successfully performed to verify mitigation of cross-talk on a plastic substrate.
In this paper, case studies were carried out to analyze the feasibility of submerged floating tunnels (SFTs) with suspension cables. In order to apply an SFT in a field site, the deformation of the system should be controlled, even under extreme wave conditions, if vehicles or trains operate inside the SFT. Two types of suspended SFTs were proposed to analyze their hydrodynamic behavior. The main variables were the wave conditions, cross-sectional diameters, buoyancy weight ratios, inclination a
Measurement systems using different sensors are currently well established for the safe use of structures in principal infrastructures, such as cable-stayed bridges. However, existing practical technologies that assess structural states by analyzing monitored data are underutilized. Although technologies to identify potential damage using advanced sensors or algorithms are continuously being developed, they have not reached a stage wherein they can be confidently applied. This study presents a m
This study aims to suggest a rational analysis method for a track ballast–wheel interaction that could be further developed to model the interaction in a train-derailment event, based on the discrete-element method (DEM). Track ballast is filled with gravel to form the trackbed. Although finite-element analysis (FEA) is widely applied in structural analysis, track ballast cannot be analyzed using conventional FEA because this approach does not allow separation of elements that share nodes. The D
