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S

Seungwu Han

seoul national university

63H指数
307论文数
1.6W被引数
收录论文 146
发表时间
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Are diffusion models ready for materials discovery in unexplored chemical space?扩散模型是否已准备好在未探索的化学空间中进行材料发现？
errPatterns
IF7.4
err2026-04-13
err0
errOAAI
errSanghyun Kim; Gihyeon Jeon; Seungwoo Hwang; Jiho Lee; Jisu Jung; Seungwu Han; Sungwoo Kang
err分享
err收藏
Reactive Machine Learning Interatomic Potentials for Chemistry and Materials Science反应性机器学习原子间势函数用于化学与材料科学
errChemical Reviews
IF55.8
err2026-04-08
err0
PREAI
errJisu Kim; Hyunsung Cho; Haekwan Jeon; Jisu Jung; Seungwu Han
err分享
err收藏
Optimizing cross-domain transfer for universal machine learning interatomic potentials优化跨域迁移以实现通用机器学习原子间势能
errNature Communications
IF15.7
err2026-03-03
err0
errOAAI
errJaesun Kim; Jinmu You; Yutack Park; Yunsung Lim; Yujin Kang; Jisu Kim; Haekwan Jeon; Suyeon Ju; Deokgi Hong; Seung Yul Lee; Saerom Choi; Yongdeok Kim; Jae W. Lee; Seungwu Han
err分享
err收藏
Atomistic Insights into Cu/Amorphous-TaxN Interfacial Adhesion via Machine Learning Interatomic Potentials: Effects of Stoichiometry and Interface Construction基于机器学习原子间势的Cu/无定形-TaxN界面粘附的原子尺度见解：化学计量比和界面构建的影响
errACS APPLIED ELECTRONIC MATERIALS
IF4.7
err2025-12-01
err0
PREAI
errChoi, Jeong Min; Kim, Jaehoon; Lee, Ji-Hwan; Son, Won-Joon; Han, Seungwu
err分享
err收藏
Atomistic insights into hydrogen migration in IGZO from machine-learning interatomic potential: linking atomic diffusion to device performance基于机器学习原子间势的IGZO中氢迁移的原子尺度见解：将原子扩散与器件性能联系起来
errJ. Mater. Chem. C
IF0
err2025-11-10
err0
PREAI
errHyunsung Cho; Minseok Moon; Jaehoon Kim; Eunkyung Koh; Hyeon-Deuk Kim; Rokyeon Kim; Gyehyun Park; Seungwu Han; Youngho Kang
err分享
err收藏
Neural network-driven molecular insights into alkaline wet etching of GaN: toward atomistic precision in nanostructure fabrication神经网络驱动的GaN碱性湿法刻蚀分子洞察：迈向纳米结构制备的原子级精度
errnpj Computational Materials
IF11.9
err2025-10-20
err0
errOAAI
errPurun-hanul Kim; Jeong Min Choi; Seungwu Han; Youngho Kang
err分享
err收藏
Unveiling Defect Motifs in Amorphous GeSe Using Machine Learning Interatomic Potentials使用机器学习原子间势能揭示非晶GeSe中的缺陷基元
errACS Applied Materials & Interfaces
IF8.2
err2025-10-01
err0
PREAI
errMinseok Moon; Seungwoo Hwang; Jaesun Kim; Yutack Park; Changho Hong; Seungwu Han
err分享
err收藏
Etching-to-deposition transition in SiO2/Si 3N 4 using CH xF y ion-based plasma etching: An atomistic study with neural network potentials采用CHxFy离子基等离子体刻蚀实现SiO2/Si3N4中刻蚀到沉积的转变：基于神经网络势能的原子尺度研究
errApplied Surface Science
IF6.9
err2025-09-19
err0
PREAI
errHyungmin An; Sangmin Oh; Dongheon Lee; Jae-hyeon Ko; Dongyean Oh; Changho Hong; Seungwu Han
err分享
err收藏
BaGe2P2 and BaGe2As2 pnictides as promising ferroelectric semiconductors for thin film solar cellBaGe2P2和BaGe2As2砷化物作为有前景的铁电半导体材料，适用于薄膜太阳能电池。
errPhys. Chem. Chem. Phys.
IF2.9
err2025-08-10
err0
PREAI
errPurun-hanul Kim; Seungwu Han; Youngho Kang
err分享
err收藏
Nonmelting Disordering Facilitated by Electron Delocalization电子离域作用促进的非熔化无序化
errACS NANO
IF16
err2025-02-26
err0
PREAI
errKim, D; Kim, S; Jung, J; Kim, J; Choi, S; Schon, CF; Lee, CW; Lim, H; Jeong, J; Yu, SHY; Jeong, Y; Lee, HJ; Kim, S; Nam, D; Eom, I; Jang, D; Kim, KS; Im, S; Han, S; Kim, H; Cho, MH
err分享
err收藏
Data-Efficient Multifidelity Training for High-Fidelity Machine Learning Interatomic Potentials高保真机器学习原子间势的数据高效多保真度训练
errJOURNAL OF THE AMERICAN CHEMICAL SOCIETY
IF15.6
err2024-12-17
err0
PREAI
errKim, Jaesun; Kim, Jisu; Kim, Jaehoon; Lee, Jiho; Park, Yutack; Kang, Youngho; Han, Seungwu
err分享
err收藏
Chemisorption Manipulation by Adjusting the Carrier Concentration of the Adsorbent and Its Application to Adsorbate Identification
errACS MATERIALS LETTERS
IF8.7
err2024-09-24
err0
PREAI
errJung, Gyuweon; Choi, Kangwook; Ju, Suyeon; Kim, Jaehyeon; Shin, Wonjun; Lee, Seongi; Yeom, Gyuho; Koo, Ryun-Han; Joo, Young-Chang; Choi, Woo Young; Han, Seungwu; Lee, Jong-Ho
err分享
err收藏
Modified Activation-Relaxation Technique (ARTn) Method Tuned for Efficient Identification of Transition States in Surface Reactions
errJOURNAL OF CHEMICAL THEORY AND COMPUTATION
IF5.5
err2024-09-06
err0
PREAI
errJung, Jisu; An, Hyungmin; Lee, Jinhee; Han, Seungwu
err分享
err收藏
Atomistic Simulation of HF Etching Process of Amorphous Si3N4 Using Machine Learning Potential基于机器学习势的非晶Si3N4 HF刻蚀过程的原子模拟
errACS APPLIED MATERIALS & INTERFACES
IF8.2
err2024-08-28
err1
PREAI
errHong, Changho; Oh, Sangmin; An, Hyungmin; Kim, Purun-hanul; Kim, Yaeji; Ko, Jae-hyeon; Sue, Jiwoong; Oh, Dongyean; Park, Sungkye; Han, Seungwu
err分享
err收藏
Disorder-Dependent Li Diffusion in Li6PS5Cl Investigated by Machine-Learning Potential通过机器学习潜力研究了Li6PS5Cl中无序相关的Li扩散
errACS APPLIED MATERIALS & INTERFACES
IF8.2
err2024-08-26
err2
PREAI
errLee, Jiho; Ju, Suyeon; Hwang, Seungwoo; You, Jinmu; Jung, Jisu; Kang, Youngho; Han, Seungwu
err分享
err收藏
Scalable Parallel Algorithm for Graph Neural Network Interatomic Potentials in Molecular Dynamics Simulations分子动力学模拟中图形神经网络原子间势的可扩展并行算法
errJOURNAL OF CHEMICAL THEORY AND COMPUTATION
IF5.5
err2024-05-30
err18
errOAAI
errPark, Yutack; Kim, Jaesun; Hwang, Seungwoo; Han, Seungwu
err分享
err收藏
Predicting melting temperature of inorganic crystals via crystal graph neural network enhanced by transfer learning迁移学习增强的晶体图神经网络预测无机晶体熔化温度
errCOMPUTATIONAL MATERIALS SCIENCE
IF3.3
err2024-02-01
err8
PREAI
errKim, Jaesun; Jung, Jisu; Kim, Sookyung; Han, Seungwu
err分享
err收藏
Electrochemical Degradation of Pt3Co Nanoparticles Investigated by Off-Lattice Kinetic Monte Carlo Simulations with Machine-Learned Potentials通过具有机器学习电势的非晶格动力学蒙特卡洛模拟研究Pt3Co纳米颗粒的电化学降解
errACS CATALYSIS
IF13.1
err2023-11-30
err3
errOAAI
errJung, Jisu; Ju, Suyeon; Kim, Purun-hanul; Hong, Deokgi; Jeong, Wonseok; Lee, Jinhee; Han, Seungwu; Kang, Sungwoo
err分享
err收藏
Spectroscopy of 13Be through isobaric analog states in 13B
errPHYSICAL REVIEW C
IF3.4
err2023-11-20
err1
PREAI
errHunt, C.; Ahn, S.; Bishop, J.; Koshchiy, E.; Aboud, E.; Alcorta, M.; Bosh, A.; Hahn, K.; Han, S.; Parker, C. E.; Pollacco, E. C.; Roeder, B. T.; Roosa, M.; Upadhyayula, S.; Volya, A. S.; Rogachev, G. V.
err分享
err收藏
Reduction of carrier density and enhancement of the bulk Rashba spin- orbit coupling strength in Bi2Te3/GeTe superlattices
errJOURNAL OF ALLOYS AND COMPOUNDS
IF6.3
err2023-09-01
err1
errOAAI
errCho, Seong Won; Lee, Young Woong; Kim, Sang Heon; Han, Seungwu; Kim, Inho; Park, Jong-Keuk; Kwak, Joon Young; Kim, Jaewook; Jeong, YeonJoo; Hwang, Gyu Weon; Lee, Kyeong Seok; Park, Seongsik; Lee, Suyoun
err分享
err收藏

研究方向

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合作学者
合作期刊
N
Nam‐Gyu Park
H 指数: 127 · 论文数: 1.1K
A
Aron Walsh
H 指数: 126 · 论文数: 984
Y
Young Hee Lee
H 指数: 124 · 论文数: 933
N
Nenad M. Marković
H 指数: 115 · 论文数: 405
R
Roberto Car
H 指数: 108 · 论文数: 589
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