Skip to main content

김용정 교수

Yong Jung Kim

KAIST 수리과학과 · 수학

연구실 소개

김용정 교수의 연구실은 에너지 저장 소자 및 생체재료의 물리화학적 거동을 중심으로 다학제적 연구를 수행합니다. 전기화학적 성능을 극대화하기 위한 탄소 소재의 열처리 조건 최적화와 유기 전해질에서의 전기적 거동 분석을 통해 고성능 에너지 저장 장치 개발에 기여하고 있으며, 동시에 나노입자의 생체 상호작용 및 생체안전성 평가를 통해 나노의료 기술의 실용화를 위한 기초 연구를 진행하고 있습니다. 특히, 비균일한 환경에서의 입자 확산 거동과 생물의 이동 전략에 대한 수학적 모델링을 통해 생태계의 안정성과 자율성 원리를 규명하고자 합니다.

에너지 저장나노의료탄소 소재생체 상호작용수학적 모델링

연구 현황

논문 수
76
총 인용 수
1,304
최근 5년 논문
18
주요 분야
수학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
18총합
2022
2023
2024
2025
2026
5개년 연도별 피인용 수
77총합
20222023202420252026

주요 논문

15
1
논문|인용수 168·2016
Global Existence and Aggregation in a Keller–Segel Model with Fokker–Planck Diffusion
Changwook Yoon, Yong-Jung Kim
SJR Q2Acta Applicandae Mathematicae
Modeling and SimulationMathematics
2
논문|인용수 91·2013
Starvation Driven Diffusion as a Survival Strategy of Biological Organisms
Eunjoo Cho, Yong-Jung Kim
SJR Q1Bulletin of Mathematical Biology
Public Health, Environmental and Occupational HealthMedicine
3
논문|인용수 86·2003
Identification and functional evidence of GABAergic neurons in parts of the brain of adult zebrafish (Danio rerio)
Yong-Jung Kim, Ryoung-Hee Nam, Young M. Yoo, Chang‐Joong Lee
SJR Q2Neuroscience Letters
Cellular and Molecular NeuroscienceNeuroscience
4
논문|인용수 63·2004
PVDC-Based Carbon Material by Chemical Activation and Its Application to Nonaqueous EDLC
Yong-Jung Kim, Yutaka Masutzawa, Shinya Ozaki, Morinobu Endo, M. S. Dresselhaus
SJR Q1Journal of The Electrochemical Society

An organic solvent-type electrolytic solution was employed for application on an electric double-layer capacitor (EDLC) made of a polyvinylidene chloride (PVDC) based carbon material. Although the PVDC-based carbon material showed an excellent capacitance over a 100 F/g in an aqueous solvent-type electrolytic solution, it showed that a very small capacitance value was obtained in an organic solvent-type electrolyte solution, which did not even exceed the value of 5 F/g. It also confirmed the mos

Electronic, Optical and Magnetic MaterialsMaterials Science
5
논문|인용수 43·2006
Neuroprotection of adenoviral-vector-mediated GDNF expression against kainic-acid-induced excitotoxicity in the rat hippocampus
Young-Mi Yoo, Chang‐Joong Lee, Uhn Lee, Yong-Jung Kim
SJR Q1Experimental Neurology
Cellular and Molecular NeuroscienceNeuroscience
6
논문|인용수 32·2013
Global asymptotic stability and the ideal free distribution in a starvation driven diffusion
Yong-Jung Kim, Oh‐Sang Kwon, Fang Li
SJR Q1Journal of Mathematical Biology
Public Health, Environmental and Occupational HealthMedicine
7
논문|인용수 30·2013
Evolution of Dispersal Toward Fitness
Yong-Jung Kim, Oh‐Sang Kwon, Fang Li
SJR Q1Bulletin of Mathematical Biology
GeneticsBiochemistry, Genetics and Molecular Biology
8
논문|인용수 25·2016
Evolution of Dispersal with Starvation Measure and Coexistence
Yong-Jung Kim, Oh‐Sang Kwon
SJR Q1Bulletin of Mathematical Biology
Public Health, Environmental and Occupational HealthMedicine
9
논문|인용수 19·2005
Tamoxifen-induced cell death and expression of neurotrophic factors in cultured C6 glioma cells
Yong-Jung Kim, Chang‐Joong Lee, Uhn Lee, Young-Mi Yoo
SJR Q1Journal of Neuro-Oncology
Cellular and Molecular NeuroscienceNeuroscience
10
논문|인용수 17·2014
Bacterial chemotaxis without gradient-sensing
Changwook Yoon, Yong-Jung Kim
SJR Q1Journal of Mathematical Biology
Modeling and SimulationMathematics
11
논문|인용수 17·2002
On the rate of convergence and asymptotic profile of solutions to the viscous burgers equations
Yong-Jung Kim, Wei‐Ming Ni
SJR Q1Indiana University Mathematics Journal

In this paper we control the first moment of the initial approximations and obtain the order of convergence and the asymptotic profile of a general solution by two explicit canonical approximations: a diffusive N-wave and a diffusion wave solution. The order of convergence of both approximations is O(t 1/(2r)-3/2 ) in L r norm, 1 ≤ r ≤ ∞, as t → ∞, which is faster than the well-known classical convergence order O(t 1/(2r)-1/2 ) for the inviscid Burgers equations case. A further comparison betwee

Applied MathematicsMathematics
12
논문|인용수 16·2010
Asymptotic agreement of moments and higher order contraction in the Burgers equation
Jaywan Chung, Eugenia Kim, Yong-Jung Kim
SJR Q1Journal of Differential Equations
Modeling and SimulationMathematics
13
논문|인용수 13·2008
Mitochondrial DNA in patients with essential tremor
Young-Mi Yoo, Chang‐Joong Lee, Uhn Lee, Yong-Jung Kim
SJR Q2Neuroscience Letters
NeurologyMedicine
14
논문|인용수 11·2021
Model for Heterogeneous Diffusion
Yong-Jung Kim, Hyowon Seo
SJR Q1SIAM Journal on Applied Mathematics

A revertible kinetic equation for Brownian particles is introduced when the turning frequency and the collision kernel are spatially heterogeneous. We derive an anisotropic diffusion equation by taking the singular limit of the kinetic equation and then balancing out its curvature effect. We see that an extra information such as the turning frequency or waiting time is also needed together with the diffusivity to model a diffusion phenomenon correctly if the environment is spatially heterogeneou

Modeling and SimulationMathematics
15
논문|인용수 11·2014
Cytotoxicity of Gold Nanorods and Nanowires on Cultivated Neural Precursor Cells
Yong-Jung Kim, Chan Jong Yoo, Uhn Lee, Young-Mi Yoo
Journal of Nanoscience and Nanotechnology

Given the emergence of nanotherapeutics and nanodiagnostics as key tools in today's medicine, it has become of critical importance to define the interactions of nanomaterials with biological systems. The biomedical applications of nanoparticles (NPs) in chemical sensing, biological imaging, drug delivery, photothermal therapy and cancer treatment have been demonstrated. Gold NPs as new biomedical tools are the focus of research due to their ease of synthesis, chemical stability and unique optica

Materials ChemistryMaterials Science

대표 연구 분야

Modeling and SimulationPublic Health, Environmental and Occupational HealthApplied MathematicsComputational Theory and MathematicsCellular and Molecular NeuroscienceElectronic, Optical and Magnetic Materials

김용정 교수의 연구를 Nubint에서 더 깊이 살펴보세요

이 연구실의 논문을 앱에서 열어 AI와 함께 읽고, 핵심을 요약하고, 내 글에 인용하세요.