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Showing results 1 to 6 of 6

1
Bayesian's eye on molecular science: Bayesian deep optimization of Onsager-Machlup action learning for uncertainty quantification and active learning of molecular properties

Ryu, Seongok; Kwon, Yongchan; Hwang, Sang-Yeon; Kim, Woo Youn, The 5 th International Conference on Molecular Simulation, The Korean Institute of Metals and Materials, The Korea Institute of Science and Technology, Korea Advanced Institute of Science and Technology - ACE Team, Seoul National University, 2019-11-04

2
Importance of local exact exchange potential in hybrid functionals for accurate excited states

Kim, Jaewook; Hong, Kwang-Woo; Sungwoo, Kang; LIM, JAE; Hwang, Sang-Yeon; Ryu, Seongok; Choi, Sunghwan; et al, 11th Triennial Congress of the World Association of Theoretical and Computational Chemists, Ludwig-Maximilians-Universität (LMU), 2017-08-29

3
Performance of Range-Separated Hybrid Functional with Krieger-Li-Iafrate Potential for Molecular Excitation Energies

Sungwoo, Kang; Kim, Jaewook; Choi, Sunghwan; LIM, JAE; Hwang, Sang-Yeon; Ryu, Seongok; Kim, Woo Youn, 11th Triennial Congress of the World Association of Theoretical and Computational Chemists, Ludwig-Maximilians-Universität (LMU), 2017-08-29

4
Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks

Lim, Jaechang; Ryu, Seongok; Park, Kyubyong; Choe, Yo Joong; Ham, Jiyeon; Kim, Woo Youn, The 5 th International Conference on Molecular Simulation, The Korean Institute of Metals and Materials, The Korea Institute of Science and Technology, Korea Advanced Institute of Science and Technology - ACE Team, Seoul National University, 2019-11-05

5
Supersampling double grid method to improve accuracy of real space electronic structure calculation

Ryu, Seongok; Choi, Sunghwan; Hong, Kwang-Woo; Kim, Woo-Youn, IUPAC-2015, Korean Chemical Society, 2015-08-13

6
Uncertainty quantification of molecule property predictions using Bayesian neural network models

Ryu, Seongok; Kwon, Yongchan; Kim, Woo Youn, Workshop on "Machine Learning for Molecules and Materials", 32nd Neural Information Processing Systems, NeurIPS Foundation, 2018-12-08

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