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W

Wonseok Jeong

Lawrence Livermore National Laboratory

16H指数
59论文数
756被引数
收录论文 22
发表时间
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Unveiling X-ray absorption signatures of boron nitride via first-principles simulation and machine learning通过第一性原理模拟和机器学习揭示氮化硼的X射线吸收特征
errNext Materials
IF0
err2025-10-01
err0
errOAAI
errSun, Wenyu; Ridwan, Osman Goni; Jeong, Wonseok; Kucheyev, Sergei O.; Zhu, Qiang; Wan, Liwen F.
err分享
err收藏
Benchmarking Density Functional Theory Methods for Efficient Calculations of a Strongly Correlated Li1–xNi1–yO2−δ System高效计算强关联Li₁₋ₓNi₁₋ᵧO₂₋ᵟ体系的密度泛函理论方法基准测试
errACS Applied Energy Materials
IF5.5
err2025-06-23
err0
PREAI
errShenli Zhang; Wenyu Sun; Eder G. Lomeli; Wonseok Jeong; Stephen E. Weitzner; Liwen F. Wan
err分享
err收藏
Improving Sensor Adaptability and Functionality in Cartographer Simultaneous Localization and Mapping
errSENSORS
IF3.5
err2025-03-14
err0
errOAAI
errJeong, Wonseok; Lee, Chanho; Lee, Namyeong; Hong, Seungwoo; Kang, Donghyun; An, Donghyeok
err分享
err收藏
Spectroscopy-guided discovery of three-dimensional structures of disordered materials with diffusion models光谱引导的具有扩散模型的无序材料三维结构的发现
errMACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF4.6
err2024-11-11
err1
errOAAI
errKwon, Hyuna; Hsu, Tim; Sun, Wenyu; Jeong, Wonseok; Aydin, Fikret; Chapman, James; Chen, Xiao; Lordi, Vincenzo; Carbone, Matthew R.; Lu, Deyu; Zhou, Fei; Pham, Tuan Anh
err分享
err收藏
Efficacy of a Multi-lamellar Emulsion Containing a Synthetic Sphingosine Kinase 1 Activator and Pseudoceramide in Patients with Atopic Dermatitis: A Randomized Controlled Trial
errDERMATOLOGY AND THERAPY
IF4.2
err2024-08-30
err0
errOAAI
errLee, So Yeon; Park, Jin Seo; Kim, Daehwan; Jeong, Wonseok; Hwang, Chenghwan; Kim, Hye One; Park, Chun Wook; Chung, Bo Young
err分享
err收藏
Integrating Machine Learning Potential and X-ray Absorption Spectroscopy for Predicting the Chemical Speciation of Disordered Carbon Nitrides
errCHEMISTRY OF MATERIALS
IF7
err2024-04-22
err1
PREAI
errJeong, Wonseok; Sun, Wenyu; Andrade, Marcos F. Calegari; Wan, Liwen F.; Willey, Trevor M.; Nielsen, Michael H.; Pham, Tuan Anh
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
Harnessing Neural Networks for Elucidating X-ray Absorption Structure-Spectrum Relationships in Amorphous Carbon
errJOURNAL OF PHYSICAL CHEMISTRY C
IF3.2
err2023-08-15
err10
errOAAI
errKwon, Hyuna; Sun, Wenyu; Hsu, Tim; Jeong, Wonseok; Aydin, Fikret; Sharma, Shubham; Meng, Fanchen; Carbone, Matthew R.; Chen, Xiao; Lu, Deyu; Wan, Liwen F.; Nielsen, Michael H.; Pham, Tuan Anh
err分享
err收藏
Stability and Equilibrium Structures of Unknown Ternary Metal Oxides Explored by Machine-Learned Potentials通过机器学习电势探索未知三元金属氧化物的稳定性和平衡结构
errJOURNAL OF THE AMERICAN CHEMICAL SOCIETY
IF15.6
err2023-08-11
err10
PREAI
errHwang, Seungwoo; Jung, Jisu; Hong, Changho; Jeong, Wonseok; Kang, Sungwoo; Han, Seungwu
err分享
err收藏
Athermal glass work at the nanoscale: Engineered electron-b eam-induce d viscoplasticity for mechanical shaping of brittle amorphous silica
errACTA MATERIALIA
IF9.3
err2022-10-01
err11
errOAAI
errKang, Sung-Gyu; Jeong, Kyeongjae; Paeng, Jeongin; Jeong, Wonseok; Han, Seungwu; Ahn, Jae-Pyeong; Boles, Steven; Han, Heung Nam; Choi, In-Suk
err分享
err收藏
Accelerated computation of lattice thermal conductivity using neural network interatomic potentials用神经网络原子间势加速计算晶格热导率
errCOMPUTATIONAL MATERIALS SCIENCE
IF3.3
err2022-08-01
err11
errOAAI
errChoi, Jeong Min; Lee, Kyeongpung; Kim, Sangtae; Moon, Minseok; Jeong, Wonseok; Han, Seungwu
err分享
err收藏
Accelerated identification of equilibrium structures of multicomponent inorganic crystals using machine learning potentials使用机器学习势加速识别多组分无机晶体的平衡结构
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2022-05-12
err24
errOAAI
errKang, Sungwoo; Jeong, Wonseok; Hong, Changho; Hwang, Seungwoo; Yoon, Youngchae; Han, Seungwu
err分享
err收藏
Metadynamics sampling in atomic environment space for collecting training data for machine learning potentials原子环境空间中的元动力学采样，用于收集机器学习潜力的训练数据
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2021-08-16
err14
errOAAI
errYoo, Dongsun; Jung, Jisu; Jeong, Wonseok; Han, Seungwu
err分享
err收藏
Training machine-learning potentials for crystal structure prediction using disordered structures使用无序结构训练晶体结构预测的机器学习潜力
errPHYSICAL REVIEW B
IF3.7
err2020-12-18
err28
errOAAI
errHong, Changho; Choi, Jeong Min; Jeong, Wonseok; Kang, Sungwoo; Ju, Suyeon; Lee, Kyeongpung; Jung, Jisu; Youn, Yong; Han, Seungwu
err分享
err收藏
High-dimensional neural network atomic potentials for examining energy materials: some recent simulations
errJOURNAL OF PHYSICS-ENERGY
IF6.3
err2020-12-15
err27
errOAAI
errWatanabe, Satoshi; Li, Wenwen; Jeong, Wonseok; Lee, Dongheon; Shimizu, Koji; Mimanitani, Emi; Ando, Yasunobu; Han, Seungwu
err分享
err收藏
A predictive strain-gradient model with no undetermined constants or length scales
errJOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
IF6
err2020-12-01
err19
errOAAI
errZhou, G.; Jeong, W.; Homer, E. R.; Fullwood, D. T.; Lee, M. G.; Kim, J. H.; Lim, H.; Zbib, H.; Wagoner, R. H.
err分享
err收藏
Crystallization of amorphous GeTe simulated by neural network potential addressing medium-range order
errCOMPUTATIONAL MATERIALS SCIENCE
IF3.3
err2020-08-01
err30
PREAI
errLee, Dongheon; Lee, Kyeongpung; Yoo, Dongsun; Jeong, Wonseok; Han, Seungwu
err分享
err收藏
Integrated crystal plasticity and phase field model for prediction of recrystallization texture and anisotropic mechanical properties of cold-rolled ultra-low carbon steels集成晶体塑性和相场模型预测超低碳钢冷轧再结晶织构和各向异性力学性能
errINTERNATIONAL JOURNAL OF PLASTICITY
IF12.8
err2020-04-01
err50
PREAI
errMin, K. M.; Jeong, W.; Hong, S. H.; Lee, C. A.; Cha, P. R.; Han, H. N.; Lee, M. -G.
err分享
err收藏
Atomic energy mapping of neural network potential
errPHYSICAL REVIEW MATERIALS
IF3.4
err2019-09-03
err32
errOAAI
errYoo, Dongsun; Lee, Kyuhyun; Jeong, Wonseok; Lee, Dongheon; Watanabe, Satoshi; Han, Seungwu
err分享
err收藏
SIMPLE-NN: An efficient package for training and executing neural-network interatomic potentialsSimpy-nn: 用于训练和执行神经网络原子间势的有效软件包
errCOMPUTER PHYSICS COMMUNICATIONS
IF3.4
err2019-09-01
err103
PREAI
errLee, Kyuhyun; Yoo, Dongsun; Jeong, Wonseok; Han, Seungwu
err分享
err收藏

研究方向

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合作学者
合作期刊
E
Eun Ha Choi
H 指数: 71 · 论文数: 1.1K
S
Seungwu Han
H 指数: 63 · 论文数: 307
H
Heung Nam Han
H 指数: 59 · 论文数: 533
M
Myoung‐Gyu Lee
H 指数: 57 · 论文数: 514
H
Hussein M. Zbib
H 指数: 53 · 论文数: 371
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