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Jun-Sang Lee

Yonsei University · 工学

研究室紹介

Professor Jun-Sang Lee's research lab specializes in multiscale modeling and simulation of complex interfacial phenomena in energy materials, biological systems, and soft matter. The lab focuses on understanding dynamic processes at the nanoscale, including lithium dendrite growth in batteries, stomatal regulation in CAM plants, emulsion rheology, protein-ligand interactions, and nanoscale friction. By combining molecular dynamics simulations with experimental validation, the lab aims to uncover fundamental mechanisms governing interfacial dynamics and material behavior under extreme conditions. Their work bridges theoretical modeling with practical applications in energy storage, biotechnology, and biomedical engineering.

molecular dynamicsinterfacial phenomenaenergy storagebiological interfacesnanotribology

Research Overview

Papers
172
Total Citations
1,773
Papers (5y)
37
Primary Field
工学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
37total
2022
2023
2024
2025
2026
Citations per year (5y)
286total
20222023202420252026

Selected Papers

15
1
Article|95 citations·2022
Dynamic observation of dendrite growth on lithium metal anode during battery charging/discharging cycles
Hae Gon Lee, Se Young Kim, Joon Sang Lee
SJR Q1npj Computational MaterialsOA

Abstract Lithium metal is considered one of the most promising anode materials for application in next-generation batteries. However, despite decades of research, practical application of lithium metal batteries has not yet been achieved because the fundamental interfacial mechanism of lithium dendrite growth is not yet fully understood. In this study, a series of reactive molecular dynamics (MD) simulations was performed to investigate the electrochemical dynamic reactions at the electrode/elec

Electrical and Electronic EngineeringEngineering
2
Article|71 citations·2010
The Effect of Stent Porosity and Strut Shape on Saccular Aneurysm and its Numerical Analysis with Lattice Boltzmann Method
Yong Hyun Kim, Xiaofeng Xu, Joon Sang Lee
SJR Q2Annals of Biomedical Engineering
Computational MechanicsEngineering
3
Article|50 citations·2010
Stomatal Opening Mechanism of CAM Plants
Joon Sang Lee
SJR Q2Journal of Plant BiologyOA

Stomata usually open when leaves are transferred from darkness to light. However, reverse-phase stomatal opening in succulent plants has been known. CAM plants such as cacti and Opuntia ficus–indica achieve their high water use efficiency by opening their stomata during the cool, desert nights and closing them during the hot, dry days. Signal transduction pathway for stomatal opening by blue light photoreceptors including phototropins and the carotenoid pigment zeaxanthin has been suggested. Blu

Plant ScienceAgricultural and Biological Sciences
4
Article|43 citations·2003
Large eddy simulation of heated vertical annular pipe flow in fully developed turbulent mixed convection
Joon Sang Lee, Xiaofeng Xu, Richard H. Pletcher
SJR Q1International Journal of Heat and Mass Transfer
Computational MechanicsEngineering
5
Article|40 citations·2015
Numerical study of cloud cavitation effects on hydrophobic hydrofoils
Jonghyun Kim, Joon Sang Lee
SJR Q1International Journal of Heat and Mass Transfer
Mechanics of MaterialsEngineering
6
Article|37 citations·2011
Study of aggregational characteristics of emulsions on their rheological properties using the lattice Boltzmann approach
Sasidhar Kondaraju, H. Farhat, Joon Sang Lee
SJR Q2Soft Matter

Predicting the rheological properties of emulsions is one of the most challenging and complicated problems in material and fluid sciences. Substantial complications in prediction of rheology arise due to the deformability and aggregation of emulsions. Thus a better understanding of deformation and aggregation of emulsions can lead to a better understanding of the shear thinning region of emulsions. Though numerous experimental and theoretical studies were performed to obtain rheological correlat

Computational MechanicsEngineering
7
Article|36 citations·2020
Flow boiling enhancement by bubble mobility on heterogeneous wetting surface in microchannel
Jonghyun Kim, Y. Choi, Joon Sang Lee
SJR Q1International Journal of Heat and Mass Transfer
Mechanical EngineeringEngineering
8
Article|35 citations·2019
Numerical study on the effects of inertia and wettability on subcooled flow boiling in microchannels
Jonghyun Kim, Joon Sang Lee
SJR Q1Applied Thermal Engineering
Mechanical EngineeringEngineering
9
Article|33 citations·2021
Binding characteristics of staphylococcal protein A and streptococcal protein G for fragment crystallizable portion of human immunoglobulin G
Hae Gon Lee, Shinill Kang, Joon Sang Lee
SJR Q1Computational and Structural Biotechnology JournalOA

In the wide array of physiological processes, protein-protein interactions and their binding are the most basal activities for achieving adequate biological metabolism. Among the studies on binding proteins, the examination of interactions between immunoglobulin G (IgG) and natural immunoglobulin-binding ligands, such as staphylococcal protein A (spA) and streptococcal protein G (spG), is essential in the development of pharmaceutical science, biotechnology, and affinity chromatography. The wide

Radiology, Nuclear Medicine and ImagingMedicine
10
Article|26 citations·2019
Computational analysis of airflow dynamics for predicting collapsible sites in the upper airways: machine learning approach
Seung Ho Yeom, Ji Sung Na, Hwi-Dong Jung, Hyung‐Ju Cho, Yoon Jeong Choi, Joon Sang Lee
SJR Q1Journal of Applied PhysiologyOA

Obstructive sleep apnea (OSA) is a common sleep breathing disorder. With the use of computational fluid dynamics (CFD), this study provides a quantitative standard for accurate diagnosis and effective surgery based on the investigation of the relationship between airway geometry and aerodynamic characteristics. Based on computed tomography data from patients having normal geometry, 4 major geometric parameters were selected and a total of 160 idealized cases were modeled and simulated. We create

PhysiologyMedicine
11
Article|26 citations·2010
Water droplet properties on periodically structured superhydrophobic surfaces: a lattice Boltzmann approach to multiphase flows with high water/air density ratio
Yong Hyun Kim, Wonjae Choi, Joon Sang Lee
SJR Q2Microfluidics and Nanofluidics
Computational MechanicsEngineering
12
Article|25 citations·2016
Surface-wettability-induced sliding bubble dynamics and its effects on convective heat transfer
Jonghyun Kim, Joon Sang Lee
SJR Q1Applied Thermal Engineering
Computational MechanicsEngineering
13
Article|25 citations·2009
Direct numerical simulation of thermal conductivity of nanofluids: The effect of temperature two-way coupling and coagulation of particles
Sasidhar Kondaraju, Emilia Kyung Jin, Joon Sang Lee
SJR Q1International Journal of Heat and Mass Transfer
Biomedical EngineeringEngineering
14
Article|24 citations·2021
Diagnosis of obstructive sleep apnea with prediction of flow characteristics according to airway morphology automatically extracted from medical images: Computational fluid dynamics and artificial intelligence approach
Susie Ryu, Jun Hong Kim, Heejin Yu, Hwi-Dong Jung, Suk Won Chang, Jeong Jin Park, Soon-Hyuk Hong, Hyung‐Ju Cho, Yoon Jeong Choi, Jongeun Choi, Joon Sang Lee
SJR Q1Computer Methods and Programs in BiomedicineOA
PhysiologyMedicine
15
Article|24 citations·2015
Molecular dynamics simulations of nanoscale and sub-nanoscale friction behavior between graphene and a silicon tip: analysis of tip apex motion
Hong Yoon, Youngmo Jung, Seong Chan Jun, Sasidhar Kondaraju, Joon Sang Lee
SJR Q1Nanoscale

A sliding object on a crystal surface with a nanoscale contact will always experience stick-slip movement. However, investigation of the slip motion itself is rarely performed due to the short slip duration. In this study, we performed molecular dynamics simulation and frictional force microscopy experiments for the precise observation of slip motion between a graphene layer and a crystalline silicon tip. The simulation results revealed a hierarchical structure of stick and slip motion. Nanoscal

Atomic and Molecular Physics, and OpticsPhysics and Astronomy

Research Areas

Computational MechanicsSurgeryElectrical and Electronic EngineeringBiomedical EngineeringAerospace EngineeringMechanical Engineering

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