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연구자

1-9 out of 1509 results

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연구실

1-9 out of 897 results

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저널논문

1-3 out of 131459 results

Singular layer physics-informed neural network method for convection-dominated boundary layer problems in two dimensions JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, v.474, 2026-03

Keywords Singular perturbation Convection-dominated equations Characteristic points Scientific machine learning Boundary layer

Singular layer physics-informed neural network method for convection-dominated boundary layer problems in two dimensions
Gie, Gung-Min ; Hong, Youngjoon ; Jung, Chang-Yeol ; Lee, Dongseok

초록	This research explores neural network-based numerical approximation of two-dimensional convection-dominated singularly perturbed problems on square, circular, and elliptic domains. Singularly perturbed boundary value problems pose significant challenges due to sharp boundary layers in their solutions. Additionally, the characteristic points of these domains give rise to degenerate boundary layer problems. The stiffness of these problems, caused by sharp singular layers, can lead to substantial computational errors if not properly addressed. Conventional neural network-based approaches often fail to capture these sharp transitions accurately, highlighting a critical flaw in machine learning methods. To address these issues, we conduct a thorough boundary layer analysis to enhance our understanding of sharp transitions within the boundary layers, guiding the application of numerical methods. Specifically, we employ physics-informed neural networks (PINNs) to better handle these boundary layer problems. However, PINNs may struggle with rapidly varying singularly perturbed solutions in small domain regions, leading to inaccurate or unstable results. To overcome this limitation, we introduce a semi-analytic method that augments PINNs with singular layers or corrector functions. Our numerical experiments demonstrate significant improvements in both accuracy and stability, showcasing the effectiveness of our proposed approach.
서지사항	JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, v.474, 2026-03
ISSN	0377-0427
주제분야	Mathematics
저자 키워드	Singular perturbation Convection-dominated equations Characteristic points Scientific machine learning Boundary layer
DOI	10.1016/j.cam.2025.116918
자료유형	Article
기관	UNIST

Facilitating C-C bond cleavage toward selective electrocatalytic oxidation of glycerol to formic acid: d-p orbital hybridization and adsorption thermodynamics APPLIED CATALYSIS B-ENVIRONMENT AND ENERGY, v.382, 2026-03

Keywords Electrochemical glycerol oxidation Selective formic acid production Zero band gap C -C bond cleavage p orbital hybridization Electrocatalyst

Facilitating C-C bond cleavage toward selective electrocatalytic oxidation of glycerol to formic acid: d-p orbital hybridization and adsorption thermodynamics
Kang, Minji ; Lim, Won-Gwang ; Zewdie, Getasew Mulualem ; Lee, Seonggyu ; Park, Jong Hyeok ; Kim, Sungjun ; Shin, Hyeyoung ; Lim, Eunho

초록	Formic acid (FA) is a high-value product in hydrogen energy systems; hence, its selective production via electrochemical glycerol oxidation reaction (GOR) in an alkaline medium has emerged as an energy-efficient approach. However, the process is hindered by sluggish C-C bond cleavage, limited charge transfer, and competitive adsorption between glycerol and OH* species. In this study, we design La-based perovskite electrocatalysts with dual B-site metal incorporation to address the key challenges of alkaline GOR. Among various transition metal combinations (Ni, Fe, and Co), LaNi0.5Co0.5O3 (LNCO) demonstrates the highest GOR performance due to a synergistic effect between Ni and Co, which has been shown to modulate the electronic structure and optimize adsorption thermodynamics. In particular, LNCO exhibits enhanced charge transfer behavior, driven by metal 3d-oxygen 2p orbital hybridization and by a delocalized electronic structure with negligible band gap. Furthermore, glycerol adsorption is thermodynamically more favorable than OH* species, providing balanced adsorption energy conducive to efficient GOR. Consequently, LNCO promotes C-C bond cleavage kinetics and enhances selective FA production. These findings highlight that LNCO is a promising electrocatalytic platform for value-added chemical synthesis via a sustainable electrochemical route.
서지사항	APPLIED CATALYSIS B-ENVIRONMENT AND ENERGY, v.382, 2026-03
ISSN	0926-3373
주제분야	Chemistry Engineering
저자 키워드	Electrochemical glycerol oxidation Selective formic acid production Zero band gap C -C bond cleavage p orbital hybridization Electrocatalyst
DOI	10.1016/j.apcatb.2025.125947
자료유형	Article
기관	KAIST

Exploring the relationship between air quality and happiness in South Korea using artificial neural networks ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, v.117, 2026-03

Keywords Environmental impact Happiness ladder Air quality Artificial neural networks

Exploring the relationship between air quality and happiness in South Korea using artificial neural networks
Wijaya, Bryan Nathanael ; Park, Yumi ; Jeung, Ju Hee ; Lee, Kyungmin

초록	This study investigates the relationship between air quality and subjective happiness across South Korean districts using artificial neural network (ANN)-based modeling. By aggregating the Korean National Assembly Futures Institute's happiness survey (2020-2021) data with the Korean Ministry of Environment's air quality data, among others, six major air pollutants were examined for their potential associations with the happiness ladder at the minuscule city level throughout South Korea. Complex non-linear patterns were observed. Among the pollutants, PM2.5 exhibited the most consistent negative association with the happiness ladder. The robust modeling and training strategies provide insights into the intricate relationships between air quality factors and the individual happiness ladder. The analysis effectively captures subtle relationships under fixed socioeconomic and happiness-related conditions, highlighting varying confidence intervals across multiple scenarios. These findings underscore the potential of ANN-based modeling in assessing the environmental factors of subjective happiness. Despite limitations related to the spatiotemporal scale of the annual happiness survey, this study contributes to the methods by applying deep learning techniques to infer the relationship between air quality and happiness, providing evidence that may inform environmental policymaking and urban sustainability strategies.
서지사항	ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, v.117, 2026-03
ISSN	0195-9255
주제분야	Environmental Sciences & Ecology
저자 키워드	Environmental impact Happiness ladder Air quality Artificial neural networks
DOI	10.1016/j.eiar.2025.108135
자료유형	Article
기관	KAIST

연구과제

1-3 out of 31436 results

자율주행을 위한 월드모델 : 3차원 의미론적 인지를 통한 미래 주행 영상의 시공간축 동질성 향상(이주민) 교육부, 이공분야기초연구사업, 윤성의, 2024-09 ~ 2024-11

(통합EZ)고친화도 메탄산화균의 생태생리학적 이해 증진 및 온실가스 배출저감 환경마이크로바이옴 기술 개발(2024년도) 과학기술정보통신부, 이공분야기초연구사업, 장진, 2024-05 ~ 2024-06

종양 발생 단계에서 동반되는 DNA 메틸레이션 변화 분석(2024년도) 과학기술정보통신부, KAIST기본사업1(정부), 주영석, 2024-05 ~ 2024-06

특허

1-3 out of 24176 results

무인 항공기 감지를 위한 주파수 변조 연속파 레이더 시스템 망 FREQUENCY MODULATED CONTINUOUS WAVE CHAIN RADAR SYSTEM FOR DETECTING UNMANNED AERIAL VEHICLE, Registration Number: 10-2015-0078711, Registration Date: 2027-05-26, 대한민국

수직 박막 트랜지스터 및 이의 제조 방법 Vertical Thin Film Transistor and method of manufacturing for the same, Registration Number: 10-2884720-0000, Registration Date: 2025-11-06, 대한민국

수직 박막 트랜지스터 및 이의 제조 방법

요약정보	본 발명의 다양한 실시예에 따른 수직 박막 트랜지스터는, 게이트 전극; 상기 게이트 전극 상에 배치되는 제1 절연층; 상기 제1 절연층 상에 배치되고 홀을 포함하는 제1 전극; 상기 제1 전극 상에 배치되는 채널층; 및 상기 채널층 상에 배치되는 제2 전극을 포함하고, 상기 제1 전극 및 상기 제2 전극 사이에 홀을 포함하는 제2 절연층을 포함할 수 있다. 본 발명의 다양한 실시예에 따른 수직 박막 트랜지스터의 제조 방법은, 내장 마스크를 포함하는 기판을 준비하는 단계; 상기 기판 상에 홀을 포함하는 제1 전극을 형성하는 단계; 및 상기 기판 상에 홀을 포함하는 제2 절연층을 형성하는 단계를 포함할 수 있다.	크게보기
타언어명	Vertical Thin Film Transistor and method of manufacturing for the same
출원번호	10-2024-0119163
출원일자	2024-09-03
등록번호	10-2884720-0000
등록일자	2025-11-06
발명자	유민지, 장재은, 최원혁, 표고은, 박동혁, 박희창, 이정훈
출원/등록국가	대한민국
기관	DGIST

Composition, for prevention or treatment of cancer disease, comprising cytotoxic T cells activated by T helper cell-derived extracellular vesicles as active ingredient COMPOSITION, FOR PREVENTION OR TREATMENT OF CANCER DISEASE, COMPRISING CYTOTOXIC T CELLS ACTIVATED BY T HELPER CELL-DERIVED EXTRACELLULAR VESICLES AS ACTIVE INGREDIENT, Registration Number: 12453775, Registration Date: 2025-10-28, 미국

Composition, for prevention or treatment of cancer disease, comprising cytotoxic T cells activated by T helper cell-derived extracellular vesicles as active ingredient

요약정보	The present invention relates to a composition, for prevention or treatment of cancer diseases, comprising CD8+ T cells activated by CD4+ T cell-derived extracellular vesicles as an active ingredient. It was found that the secretion of extracellular vesicles from cytokine-activated CD4+ T cells increases and the extracellular vesicles enhance proliferation and activity of CD8+ T cells to induce the death of cancer cells, thereby augmenting an anticancer effect. Thus, the present invention provides the CD8+ T cells activated by CD4+ T cell-derived extracellular vesicles as a pharmaceutical agent or an immunotherapeutic agent for cancer diseases, and a method for activating CD8+ T cells by using CD4+ T cell-derived extracellular vesicles to prepare CD8+ T cells showing excellent anticancer activity as described above.
타언어명	COMPOSITION, FOR PREVENTION OR TREATMENT OF CANCER DISEASE, COMPRISING CYTOTOXIC T CELLS ACTIVATED BY T HELPER CELL-DERIVED EXTRACELLULAR VESICLES AS ACTIVE INGREDIENT
출원번호	17766745
출원일자	2020-09-18
등록번호	12453775
등록일자	2025-10-28
발명자	백문창, 정인성, 정도경, 류수연, 예경무, 신상희
출원/등록국가	미국
기관	DGIST

학술활동

1-3 out of 88621 results

Development of chemical probes for capturing protein arginine kinases 6th Asian Chemical Biology Conference 2023, 대한민국, 2230-82-01 ~ 2023-08-23

Development of chemical probes for capturing protein arginine kinases
Lee, Shin Hyeon ; Kee, Jung-Min

초록	Protein kinases play a critical role in controlling numerous cellular regulation pathways and signal transduction.1 Protein arginine phosphorylation, one of the relatively acid-labile N- phosphorylations, has been identified in numerous prokaryotic and eukaryotic proteins.2 The only known protein Arg kinase is McsB in Gram-positive bacteria, which was characterized in 2009.3 McsB is a heat-stress responsive kinase and phosphorylates Arg residues in aggregated cytosolic proteins so that phosphoarginine (pArg) acts as a protein degradation tag recognized by the ClpC/ClpP protease system. Recently, bacterial-PROTAC was developed using pArg and ClpC- binding cyclic peptide to induce the degradation of the target protein.4 In contrast, no eukaryotic or mycobacterial protein Arg kinase has been identified despite the abundance of pArg sites in those organisms, hindering further studies of Arg phosphorylation. Herein, we report our progress in developing mechanism-based chemical probes to label and capture the elusive Arg kinase.
학술대회명	6th Asian Chemical Biology Conference 2023
개최국	대한민국
개최장소
개최일	2023-08-22
저자 키워드
DOI
기관	UNIST

Domain Knowledge-Informed Functional Outlier Detection for Line Quality Control Systems 한국경영과학회-대한산업공학회 2022 춘계공동학술대회, 대한민국, 2206-01 ~ 2206-04

Domain Knowledge-Informed Functional Outlier Detection for Line Quality Control Systems
Mun, Jonghwan ; Yoon, Kwonin ; Kim, Gyeongjun ; Yoo, Jitae ; Kim, Heesun ; Ryu, Nayi ; Kim, Sungil

초록
학술대회명	한국경영과학회-대한산업공학회 2022 춘계공동학술대회
개최국	대한민국
개최장소
개최일	2022-06-03
저자 키워드
DOI
기관	UNIST

광 네트워크를 통한 실시간 미디어 전송을 위한 멀티캐스트 라우팅 기법에 관한 연구 SWCC2008, 대한민국, ? ~ ?

연구장비

1-3 out of 3547 results