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Han, Seungwu

Seoul National University · Materials Science

About the Lab

Professor Han's research lab specializes in computational materials science and nanotechnology, focusing on the design, simulation, and application of advanced 2D materials and nanostructured systems. Key research directions include the development of high-κ dielectrics for next-generation electronics, the exploration of transition metal dichalcogenides (TMDs) for gas sensing and catalysis, and the creation of machine learning-based interatomic potentials for accurate molecular dynamics simulations. The lab integrates first-principles calculations with high-throughput screening and data-driven methodologies to discover novel materials with tailored electronic, optical, and catalytic properties.

2D materialshigh-κ dielectricsnanomaterialscatalysismachine learning potentials

Research Overview

Papers
310
Total Citations
16,663
Papers (5y)
59
Primary Field
Materials Science

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
59total
2022
2023
2024
2025
2026
Citations per year (5y)
827total
20222023202420252026

Selected Papers

15
1
Article|451 citations·2021
Best practices in machine learning for chemistry
Nongnuch Artrith, Keith T. Butler, François‐Xavier Coudert, Seungwu Han, Olexandr Isayev, Anubhav Jain, Aron Walsh
SJR Q1Nature ChemistryOA
Materials ChemistryMaterials Science
2
Article|412 citations·2009
Electrical Manipulation of Nanofilaments in Transition-Metal Oxides for Resistance-Based Memory
Myoung‐Jae Lee, Seungwu Han, Sang Ho Jeon, Bae Ho Park, Bo Soo Kang, Seung‐Eon Ahn, Ki Hwan Kim, Chang Bum Lee, Chang Jung Kim, In-Kyeong Yoo, David H. Seo, Xiang-Shu Li
SJR Q1Nano Letters

The fabrication of controlled nanostructures such as quantum dots, nanotubes, nanowires, and nanopillars has progressed rapidly over the past 10 years. However, both bottom-up and top-down methods to integrate the nanostructures are met with several challenges. For practical applications with the high level of the integration, an approach that can fabricate the required structures locally is desirable. In addition, the electrical signal to construct and control the nanostructures can provide sig

Electrical and Electronic EngineeringEngineering
3
Article|239 citations·2015
Novel high-κ dielectrics for next-generation electronic devices screened by automated ab initio calculations
Kanghoon Yim, Youn Yong, Joohee Lee, Kyuhyun Lee, Ho‐Hyun Nahm, Jiho Yoo, Chanhee Lee, Cheol Seong Hwang, Seungwu Han
SJR Q1NPG Asia MaterialsOA

As the scale of transistors and capacitors in electronics is reduced to less than a few nanometers, leakage currents pose a serious problem to the device’s reliability. To overcome this dilemma, high-κ materials that exhibit a larger permittivity and band gap are introduced as gate dielectrics to enhance both the capacitance and block leakage simultaneously. Currently, HfO2 is widely used as a high-κ dielectric; however, a higher-κ material remains desired for further enhancement. To find new hi

Electrical and Electronic EngineeringEngineering
4
Preprint|189 citations·2024
Scalable Parallel Algorithm for Graph Neural Network Interatomic Potentials in Molecular Dynamics Simulations
Yutack Park, Jaesun Kim, Seungwoo Hwang, Seungwu Han
SJR Q1Journal of Chemical Theory and ComputationOA

Message-passing graph neural network interatomic potentials (GNN-IPs), particularly those with equivariant representations such as NequIP, are attracting significant attention due to their data efficiency and high accuracy. However, parallelizing GNN-IPs poses challenges because multiple message-passing layers complicate data communication within the spatial decomposition method, which is preferred by many molecular dynamics (MD) packages. In this article, we propose an efficient parallelization

Materials ChemistryMaterials Science
5
Article|154 citations·2019
Two-Dimensional NbS2 Gas Sensors for Selective and Reversible NO2 Detection at Room Temperature
Yeonhoo Kim, Ki Chang Kwon, Sungwoo Kang, Changyeon Kim, Tae‐Hoon Kim, Seung Pyo Hong, Seo Yun Park, Jun Min Suh, Min‐Ju Choi, Seungwu Han, Ho Won Jang
SJR Q1ACS SensorsOA

Transition metal dichalcogenides (TMDs) have attracted enormous attention in diverse research fields. Especially, gas sensors are considered in a promising application exploiting TMDs. However, the studies are confined to only major TMDs such as MoS<sub>2</sub> and WS<sub>2</sub>. Particularly, the chemoresistive sensing properties of two-dimensional (2D) NbS<sub>2</sub> have never been explored. For the first time, we report room temperature NO<sub>2</sub> sensing characteristics of 2D NbS<sub>

Materials ChemistryMaterials Science
6
Article|140 citations·2019
SIMPLE-NN: An efficient package for training and executing neural-network interatomic potentials
Kyuhyun Lee, Dongsun Yoo, Wonseok Jeong, Seungwu Han
SJR Q1Computer Physics Communications
Materials ChemistryMaterials Science
7
Article|138 citations·2000
Role of the localized states in field emission of carbon nanotubes
Seungwu Han, Jisoon Ihm
Physical review. B, Condensed matter

We have performed $\mathrm{ab}$ $\mathrm{initio}$ pseudopotential electronic structure calculations for various edge geometries of the $(n,n)$ single-wall nanotube with or without applied fields. Among the systems studied, the one with a zigzag edge exposed by a slant cut is found to be the most favorable for emission due to the existence of unpaired dangling bond states around the Fermi level. The next most favorable geometry is the capped nanotube where $\ensuremath{\pi}$-bonding states locali

Materials ChemistryMaterials Science
8
Article|125 citations·2018
Hydrogen Evolution Reaction at Anion Vacancy of Two-Dimensional Transition-Metal Dichalcogenides: Ab Initio Computational Screening
Joohee Lee, Sungwoo Kang, Kanghoon Yim, Kye Yeop Kim, Ho Won Jang, Youngho Kang, Seungwu Han
SJR Q1The Journal of Physical Chemistry Letters

The catalytic activity for the hydrogen evolution reaction (HER) at the anion vacancy of 40 2D transition-metal dichalcogenides (TMDs) is investigated using the hydrogen adsorption free energy (Δ G<sub>H</sub>) as the activity descriptor. While vacancy-free basal planes are mostly inactive, anion vacancy makes the hydrogen bonding stronger than clean basal planes, promoting the HER performance of many TMDs. We find that ZrSe<sub>2</sub> and ZrTe<sub>2</sub> have similar Δ G<sub>H</sub> as Pt, th

Electrical and Electronic EngineeringEngineering
9
Article|118 citations·2002
Self-interstitials in V and Mo
Seungwu Han, Luis A. Zepeda-Ruiz, Graeme J. Ackland, Roberto Car, David J. Srolovitz
Physical review. B, Condensed matter

We report an extensive ab initio study of self-interstitials in V and Mo. Contrary to the widely accepted picture, the $〈111〉$ dumbbell is found to be the most stable structure. The activated state for migration is the crowdion configuration, with an extremely low barrier $(\ensuremath{\sim}0.01\mathrm{eV}),$ suggesting $1d$ (one-dimensional) diffusion at low temperatures and $3d$ diffusion at high temperature. In the case of Mo, the energy landscape between the $〈111〉$ and $〈110〉$ dumbbells is

Atomic and Molecular Physics, and OpticsPhysics and Astronomy
10
Article|104 citations·2020
A band-gap database for semiconducting inorganic materials calculated with hybrid functional
Sangtae Kim, Miso Lee, Chang‐Ho Hong, Youngchae Yoon, Hyungmin An, Dong-Heon Lee, Wonseok Jeong, Dongsun Yoo, Youngho Kang, Yong Youn, Seungwu Han
SJR Q1Scientific DataOA

Semiconducting inorganic materials with band gaps ranging between 0 and 5 eV constitute major components in electronic, optoelectronic and photovoltaic devices. Since the band gap is a primary material property that affects the device performance, large band-gap databases are useful in selecting optimal materials in each application. While there exist several band-gap databases that are theoretically compiled by density-functional-theory calculations, they suffer from computational limitations s

Materials ChemistryMaterials Science
11
Article|102 citations·2013
Thermodynamics of native point defects in α-Fe2O3: an ab initio study
Joohee Lee, Seungwu Han
SJR Q2Physical Chemistry Chemical Physics

The native point defects in Fe2O3 are theoretically investigated using ab initio methods based on the GGA + U formalism. We consider vacancies and interstitials of Fe and O atoms as well as the electron polaron as Fe(II) defects at the host Fe(III) site. The formation energies and charge transition levels are computed for each defect type with careful elimination of size effects of the supercell. It is found that the Fe interstitial and vacancy form donor and acceptor levels close to band edges,

Renewable Energy, Sustainability and the EnvironmentEnergy
12
Article|97 citations·2018
Computational discovery of p-type transparent oxide semiconductors using hydrogen descriptor
Kanghoon Yim, Yong Youn, Miso Lee, Dongsun Yoo, Joohee Lee, Sung Haeng Cho, Seungwu Han
SJR Q1npj Computational MaterialsOA

Abstract The ultimate transparent electronic devices require complementary and symmetrical pairs of n-type and p-type transparent semiconductors. While several n-type transparent oxide semiconductors like InGaZnO and ZnO are available and being used in consumer electronics, there are practically no p-type oxides that are comparable to the n-type counterpart in spite of tremendous efforts to discover them. Recently, high-throughput screening with the density functional theory calculations attempt

Materials ChemistryMaterials Science
13
Article|92 citations·2003
Interatomic potential for vanadium suitable for radiation damage simulations
Seungwu Han, Luis A. Zepeda-Ruiz, Graeme J. Ackland, Roberto Car, David J. Srolovitz
SJR Q2Journal of Applied Physics

The ability to predict the behavior of point defects in metals, particularly interstitial defects, is central to accurate modeling of the microstructural evolution in environments with high radiation fluxes. Existing interatomic potentials of embedded atom method type predict disparate stable interstitial defect configurations in vanadium. This is not surprising since accurate first-principles interstitial data were not available when these potentials were fitted. In order to provide the input i

Materials ChemistryMaterials Science
14
Article|88 citations·2016
Ultrasensitive reversible oxygen sensing by using liquid-exfoliated MoS2 nanoparticles
Yeon Hoo Kim, Kye Yeop Kim, You Rim Choi, Young-Seok Shim, Jong-Myeong Jeon, Jong‐Heun Lee, Soo Young Kim, Seungwu Han, Ho Won Jang
SJR Q1Journal of Materials Chemistry A

Two-dimensional (2D) molybdenum disulfide (MoS<sub>2</sub>) has been attracting rapidly increasing interest for application in chemoresistive gas sensors owing to its moderate band gap energy and high specific surface area.

Electrical and Electronic EngineeringEngineering
15
Article|77 citations·2002
First-principles study of field emission of carbon nanotubes
Seungwu Han, Jisoon Ihm
Physical review. B, Condensed matter

Field emission properties of the (10,10) carbon nanotube are investigated with a first-principles approach. Emission currents are obtained through integrations of the time-dependent Schr\"odinger equation. We find that the emission current from the states localized at the tip end is more than ten times greater than direct contributions from extended metallic $(\ensuremath{\pi}$ and ${\ensuremath{\pi}}^{*})$ states. The spatial distribution of the electronic wave function as it tunnels through th

Materials ChemistryMaterials Science

Research Areas

Materials ChemistryElectrical and Electronic EngineeringRenewable Energy, Sustainability and the EnvironmentBiomedical EngineeringAtomic and Molecular Physics, and OpticsElectronic, Optical and Magnetic Materials

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