Seongmin Park
한양대학교 컴퓨터공학과 · 공학
Seongmin Park 교수의 연구실은 유연 전자 소재의 기계적 내구성 향상과 고성능 재료의 유연한 응용을 핵심으로 삼고 있습니다. 특히 저탄성 중간층을 통한 표면 응력 감소 기술과, 고급 머신러닝 기반 식품 안전성 평가 기술을 개발하며, 실생활 응용에 적합한 비파괴 진단 기법을 연구하고 있습니다. 또한 자연어 처리 분야에서는 추상적 요약 생성과 텍스트 생성 모델의 안정성 향상을 위한 알고리즘 설계에 주력하고 있으며, 암호 해독 기법의 정밀도 향상에도 기여하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Abstract Very recently, MXene‐based wearable hydrogels have emerged as promising candidates for epidermal sensors due to their tissue‐like softness and unique electrical and mechanical properties. However, it remains a challenge to achieve MXene‐based hydrogels with reliable sensing performance and prolonged service life, because MXene inevitably oxidizes in water‐containing system of the hydrogels. Herein, catechol‐functionalized poly(vinyl alcohol) (PVA‐CA)‐based hydrogels is proposed to inhib
The schematic of CO<sub>2</sub> electrolysis to produce CO in an SOEC under the conditions of CO<sub>2</sub> gas containing H<sub>2</sub>S.
The direct use of conventional photosensitizers in photodynamic therapy (PDT) of cancer cells has been thwarted by their low solubility, poor photostability, and aggregation tendency. Hence, complex and hectic synthetic procedures, such as developing nanomaterials and subsequently loading them with photosensitizers, have become mandatory for the effective use of photosensitizers in PDT. In this study, we have avoided complex procedures and produce hematoporphyrin (HP) photosensitizer-encapsulate
We report a highly improved cathode catalyst by doping fluorine anions in oxygen sites of a Ruddlesden–Popper material for CO2 electrolysis to produce CO in solid oxide electrolysis cells (SOECs). The obtained fluorine-doped catalyst of La0.9Sr0.8Co0.4Mn0.6O3.9−δF0.1 (R.P.LSCoMnF) exhibited the higher electrochemical performance of 499 mA/cm2 at 1.3 V and 850 °C with the smaller polarization resistance of 0.853 Ω·cm2 than those of the undoped catalyst of La0.9Sr0.8Co0.4Mn0.6O4−δ (R.P.LSCoMn). Mo
Advances in mobile communication networks from 2G to 5G have brought unprecedented traffic growth, and 5G mobile communication networks are expected to be used in a variety of industries based on innovative technologies, fast not only in terms of extremely low latency but massive access devices. Various types of services, such as enhanced mobile broadband (eMBB), massive machine type communication (mMTC), and ultra-reliable and low latency communication (uRLLC), represent an increase in the numb
Flexible materials with sufficient mechanical endurance under bending or folding is essential for flexible electronic devices. Conventional rigid materials such as metals and ceramics are mostly brittle so that their properties can deteriorate under a certain amount of strain. In order to utilize high-performance, but brittle conventional materials in flexible electronics, we propose a novel flexible substrate structure with a low-modulus interlayer. The low-modulus interlayer reduces the surfac
The demand for safe and edible meat has led to the advancement of freeze-storage techniques, but falsely labeled thawed meat remains an issue. Many methods have been proposed for this purpose, but they all destroy the sample and can only be performed in the laboratory by skilled personnel. In this study, hyperspectral image data were used to construct a machine learning (ML) model to discriminate between freshly refrigerated, long-term refrigerated, and thawed beef meat samples. With four pre-pr
Herein, a new ceramic‐based catalyst with exsolved CoFe nanoparticles anchored on the support of a Ruddlesden–Popper structure (La 1.2 Sr 0.8 Co 0.12 Fe 0.88 O 4 ) is synthesized, and various physicochemical analyses are conducted to investigate its applicability as an anode of solid oxide fuel cells (SOFCs). The catalyst is fabricated by reducing La 0.6 Sr 0.4 Co 0.2 Fe 0.8 O 3 in an atmosphere of a 10% H 2 /N 2 gas mixture at 800 °C, whose condition is much milder than the typical synthesis me
Abstract This work presents an analog neuromorphic synapse device consisting of two oxide semiconductor transistors for high‐precision neural networks. One of the two transistors controls the synaptic weight by charging or discharging the storage node, which leads to a conductance change in the other transistor. The programmed weight maintains for more than 300 s as electrons in the storage node are well preserved due to the extremely low off current of the oxide transistor. Ideal synaptic behav