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Won Bo Lee

Seoul National University · 工学

研究室紹介

Professor Won Bo Lee's research lab specializes in advanced materials development for sustainable energy technologies, with a strong focus on energy storage and conversion systems. Key research directions include designing high-performance solid-state electrolytes for safer lithium-ion batteries, engineering multi-metallic alloy and nanostructured catalysts for efficient oxygen evolution reactions, and developing machine learning-guided molecular design for next-generation organic solar cells and electrocatalysts. The lab uniquely integrates experimental synthesis with data-driven approaches such as active learning and deep generative models to accelerate materials discovery.

solid-state batterieselectrocatalysismachine learning in materialsorganic solar cellsinverse molecular design

Research Overview

Papers
313
Total Citations
7,189
Papers (5y)
129
Primary Field
工学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
129total
2022
2023
2024
2025
2026
Citations per year (5y)
1,379total
20222023202420252026

Selected Papers

15
1
Article|174 citations·2020
Polymer‐Clay Nanocomposite Solid‐State Electrolyte with Selective Cation Transport Boosting and Retarded Lithium Dendrite Formation
Young Min Jeon, Seulwoo Kim, Minhwan Lee, Won Bo Lee, Jong Hyeok Park
SJR Q1Advanced Energy Materials

Abstract Commercialized lithium‐ion batteries (LIBs) with a liquid electrolyte have a high potential for combustion or explosion. The use of solid electrolytes in LIBs is a promising way to overcome the drawbacks of conventional liquid electrolyte‐based systems, but they generally have a lower ionic conductivity and lithium ion mobility. Here, a UV‐crosslinked composite polymer‐clay electrolyte (U‐CPCE) that is composed of a durable semi‐interpenetrating polymer network (semi‐IPN) ion transporti

Electrical and Electronic EngineeringEngineering
2
Article|124 citations·2021
Unveiling the Impact of Fe Incorporation on Intrinsic Performance of Reconstructed Water Oxidation Electrocatalyst
N. Clament Sagaya Selvam, Seung Jae Kwak, Gwan Hyun Choi, Min Jun Oh, Hyunwoo Kim, Won‐Sub Yoon, Won Bo Lee, Pil J. Yoo
SJR Q1ACS Energy Letters

Because of the salient impact on the performance of oxygen evolution reaction (OER), the surface dynamics of precatalysts accompanying the surface oxidation and dissolution of catalytic components demands immense research attention. Accordingly, the change in the structural integrity under high current density generally results in inconsistent OER performances. To address this challenge, here, we present the intricate design of precatalysts, strategically followed by reconstruction treatment in

Renewable Energy, Sustainability and the EnvironmentEnergy
3
Article|83 citations·2018
Widom Delta of Supercritical Gas–Liquid Coexistence
Min Young Ha, Tae Jun Yoon, Tsvi Tlusty, YongSeok Jho, Won Bo Lee
SJR Q1The Journal of Physical Chemistry LettersOA

Density fluctuations and the Widom line are of great importance in understanding the critical phenomena and the behaviors of supercritical fluids (SCFs). We report on the direct classification of liquid-like and gas-like molecules coexisting in the SCF, identified by machine learning analysis on simulation data. The deltoid coexistence region encloses the Widom line and may therefore be termed the Widom delta. Number fractions of gas-like and liquid-like particles are found to undergo continuous

Biomedical EngineeringEngineering
4
Article|79 citations·2013
Moving bed adsorption process with internal heat integration for carbon dioxide capture
Kiwoong Kim, Yongho Son, Won Bo Lee, Kwang Soon Lee
SJR Q1International journal of greenhouse gas control
Mechanical EngineeringEngineering
5
Article|73 citations·2022
Searching for an Optimal Multi‐Metallic Alloy Catalyst by Active Learning Combined with Experiments
Minki Kim, Min Young Ha, Woo‐Bin Jung, Jeesoo Yoon, Euichul Shin, Il‐doo Kim, Won Bo Lee, YongJoo Kim, Hee‐Tae Jung
SJR Q1Advanced Materials

Abstract Searching for an optimal component and composition of multi‐metallic alloy catalysts, comprising two or more elements, is one of the key issues in catalysis research. Due to the exhaustive data requirement of conventional machine‐learning (ML) models and the high cost of experimental trials, current approaches rely mainly on the combination of density functional theory and ML techniques. In this study, a significant step is taken toward overcoming limitations by the interplay of experim

Materials ChemistryMaterials Science
6
Article|72 citations·2021
Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention
Hyunseung Kim, Jonggeol Na, Won Bo Lee
SJR Q1Journal of Chemical Information and ModelingOA

Discovering new materials better suited to specific purposes is an important issue in improving the quality of human life. Here, a neural network that creates molecules that meet some desired multiple target conditions based on a deep understanding of chemical language is proposed (generative chemical Transformer, GCT). The attention mechanism in GCT allows a deeper understanding of molecular structures beyond the limitations of chemical language itself which cause semantic discontinuity by payi

Computational Theory and MathematicsComputer Science
7
Article|63 citations·2021
Donor–Acceptor Alternating Copolymer Compatibilizers for Thermally Stable, Mechanically Robust, and High-Performance Organic Solar Cells
Jin‐Woo Lee, Cheng Sun, Dong Jun Kim, Min Young Ha, Dae Hee Han, Jin Su Park, Cheng Wang, Won Bo Lee, Soon‐Ki Kwon, Taek‐Soo Kim, Yun‐Hi Kim, Bumjoon J. Kim
SJR Q1ACS Nano

Small-molecule acceptor (SMA)-based organic solar cells (OSCs) have achieved high power conversion efficiencies (PCEs), while their long-term stabilities remain to be improved to meet the requirements for real applications. Herein, we demonstrate the use of donor-acceptor alternating copolymer-type compatibilizers (DACCs) in high-performance SMA-based OSCs, enhancing their PCE, thermal stability, and mechanical robustness simultaneously. Detailed experimental and computational studies reveal tha

Electrical and Electronic EngineeringEngineering
8
Article|62 citations·2023
Exploring Optimal Water Splitting Bifunctional Alloy Catalyst by Pareto Active Learning
Minki Kim, Yesol Kim, Yesol Kim, Min Young Ha, Euichul Shin, Seung Jae Kwak, Minhee Park, Il‐Doo Kim, Woo‐Bin Jung, Won Bo Lee, YongJoo Kim, YongJoo Kim
SJR Q1Advanced MaterialsOA

Abstract Design of bifunctional multimetallic alloy catalysts, which are one of the most promising candidates for water splitting, is a significant issue for the efficient production of renewable energy. Owing to large dimensions of the components and composition of multimetallic alloys, as well as the trade‐off behavior in terms of the hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) overpotentials for bifunctional catalysts, it is difficult to search for high‐performance b

Renewable Energy, Sustainability and the EnvironmentEnergy
9
Article|62 citations·2018
Toxic gas release modeling for real-time analysis using variational autoencoder with convolutional neural networks
Jonggeol Na, Kyeongwoo Jeon, Won Bo Lee
SJR Q1Chemical Engineering Science
Environmental EngineeringEnvironmental Science
10
Article|60 citations·2019
Symmetry Transitions of Polymer-Grafted Nanoparticles: Grafting Density Effect
Hongseok Yun, Ji Woong Yu, Young Jun Lee, Jin-Seong Kim, Chan Ho Park, Chongyong Nam, Junghun Han, Tae‐Young Heo, Soo‐Hyung Choi, Doh C. Lee, Won Bo Lee, Gila E. Stein
SJR Q1Chemistry of Materials

We examined the packing structure of polystyrene-coated gold nanoparticles (Au@PS) as a function of grafting density. A series of Au@PS nanoparticles with grafting densities in the range of 0.51–1.94 chains nm–2 were prepared by a ligand exchange process using thiol-terminated PS and then self-assembled at a liquid–air interface. We observed a transition from disordered to body-centered cubic (bcc) to face-centered cubic (fcc) arrangements with increasing grafting density, even though the ligand

Surfaces, Coatings and FilmsMaterials Science
11
Article|57 citations·2011
Controlling the Orientation of Block Copolymer Thin Films using Thermally-Stable Gold Nanoparticles with Tuned Surface Chemistry
Misang Yoo, Seyong Kim, Se Gyu Jang, Soo‐Hyung Choi, Hyun-Seung Yang, Edward J. Krämer, Won Bo Lee, Bumjoon J. Kim, Joona Bang
SJR Q1Macromolecules

In this study, we developed a novel strategy to control the orientation of microdomains in block copolymer thin films by introducing either selective or neutral gold nanoparticles (Au NPs) that were thermally stable. The Au NPs were modified with thiol-terminated polymeric ligands, poly[(methyl methacrylate- r -styrene)- b -azidostyrene] (P[(MMA- r -S)- b -S-N 3 ]-SH), having different compositions of methyl methacrylate (MMA) and styrene in P(MMA- r -S) block to precisely tune the interfacial i

Materials ChemistryMaterials Science
12
Article|54 citations·2007
Anomalous Phase Sequences in Lyotropic Liquid Crystals
Won Bo Lee, Raffaele Mezzenga, Glenn H. Fredrickson
SJR Q1Physical Review Letters

We present a coarse-grained model in order to describe the unusual sequence of mesophases observed in aqueous solutions of nonionic lipids, such as monoolein. The lipid molecules are modeled as a rigid head and a flexible Gaussian tail, and water is treated explicitly. A key component of the model is thermally reversible hydrogen bonding between the lipid head and water resulting in changes in both head volume and the interactions of the hydrated head with its surroundings. Phase diagrams obtain

Molecular BiologyBiochemistry, Genetics and Molecular Biology
13
Article|52 citations·2009
Entangled Polymer Melts: Relation between Plateau Modulus and Stress Autocorrelation Function
Won Bo Lee, Kurt Kremer
SJR Q1Macromolecules

Stress autocorrelation functions (SAF) of entangled polymer melts are calculated by coarse-grained molecular dynamics (MD) simulations. We show that time-averaged stresses reduce the strong noise in SAFs while still capturing most relevant relaxations of the chains. Plateau values of the SAF compare well with plateau values predicted from the entanglement length evaluated via primitive path analysis (PPA) and from experiment (where available). Three types of polymer models are studied: a flexibl

Fluid Flow and Transfer ProcessesChemical Engineering
14
Article|52 citations·2007
Phase Morphologies in Reversibly Bonding Supramolecular Triblock Copolymer Blends
Won Bo Lee, Richard Elliott, K. B. Katsov, Glenn H. Fredrickson
SJR Q1Macromolecules

Thermoreversible, supramolecular self-assembly in multiblock copolymer melts is investigated with two microscopic approaches. We consider a blend consisting of two chemically distinct, but reactive homopolymers. One homopolymer has a single reactive end group at one of its ends, while the second has functional end groups at both ends. Reversible bonding is constrained to occur between dissimilar blocks so that this mixture is capable of forming diblocks and triblocks but no other copolymers. All

Materials ChemistryMaterials Science
15
Article|50 citations·2022
Observation of H2 Evolution and Electrolyte Diffusion on MoS2 Monolayer by In Situ Liquid‐Phase Transmission Electron Microscopy
Jihoon Kim, Anseong Park, Joodeok Kim, Seung Jae Kwak, Jae Yoon Lee, Dong‐Hoon Lee, Sebin Kim, Back Kyu Choi, Sungin Kim, Jimin Kwag, Younhwa Kim, Sungho Jeon
SJR Q1Advanced Materials

Abstract Unit‐cell‐thick MoS 2 is a promising electrocatalyst for the hydrogen evolution reaction (HER) owing to its tunable catalytic activity, which is determined based on the energetics and molecular interactions of different types of HER active sites. Kinetic responses of MoS 2 active sites, including the reaction onset, diffusion of the electrolyte and H 2 bubbles, and continuation of these processes, are important factors affecting the catalytic activity of MoS 2 . Investigating these fact

Renewable Energy, Sustainability and the EnvironmentEnergy

Research Areas

Materials ChemistryElectrical and Electronic EngineeringBiomedical EngineeringMechanical EngineeringAtomic and Molecular Physics, and OpticsCatalysis

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