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Jeheon Woo
Jeheon Woo
Ph.D. Student, Department of Chemistry, KAIST
在 kaist.ac.kr 的电子邮件经过验证
标题
引用次数
引用次数
年份
Neural network-based pseudopotential: development of a transferable local pseudopotential
J Woo, H Kim, WY Kim
Physical Chemistry Chemical Physics 24 (34), 20094-20103, 2022
122022
ACE-Molecule: An open-source real-space quantum chemistry package
S Kang, J Woo, J Kim, H Kim, Y Kim, J Lim, S Choi, WY Kim
The Journal of Chemical Physics 152 (12), 2020
112020
Diffusion-based generative AI for exploring transition states from 2D molecular graphs
S Kim, J Woo, WY Kim
Nature Communications 15 (1), 341, 2024
92024
System-specific separable basis based on tucker decomposition: Application to density functional calculations
J Woo, WY Kim, S Choi
Journal of chemical theory and computation 18 (5), 2875-2884, 2022
62022
Dynamic Precision Approach for Accelerating Large-Scale Eigenvalue Solvers in Electronic Structure Calculations on Graphics Processing Units
J Woo, S Kim, WY Kim
Journal of Chemical Theory and Computation 19 (5), 1457-1465, 2023
32023
GeoTMI: predicting quantum chemical property with easy-to-obtain geometry via positional denoising
H Kim, J Woo, S Kim, S Moon, JH Kim, WY Kim
Advances in Neural Information Processing Systems 36, 2024
22024
Gaussian-Approximated Poisson Preconditioner for Iterative Diagonalization in Real-Space Density Functional Theory
J Woo, S Kim, WY Kim
The Journal of Physical Chemistry A 127 (17), 3883-3893, 2023
22023
Efficient Shift-and-Invert Preconditioning for Multi-GPU Accelerated Density Functional Calculations
J Woo, W Youn Kim, S Choi
Journal of Chemical Theory and Computation, 2024
2024
A 2D Graph-Based Generative Approach For Exploring Transition States Using Diffusion Model
S Kim, J Woo, WY Kim
arXiv e-prints, arXiv: 2304.12233, 2023
2023
Predicting quantum chemical property with easy-to-obtain geometry via positional denoising.
H Kim, J Woo, S Kim, S Moon, JH Kim, WY Kim
CoRR, 2023
2023
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