I agree that this site is using cookies. You can find further informations here.
X
Moon, Seokhyun
63  results:
Search for persons X
?
1

Toward generalizable structure‐based deep learning models f..:

Moon, Seokhyun ; Zhung, Wonho ; Kim, Woo Youn
WIREs Computational Molecular Science.  14 (2024)  1 - p. , 2024
Link: https://doi.org/10.1002/..
 
?
2

PIGNet2: a versatile deep learning-based protein–ligand int..:

Moon, Seokhyun ; Hwang, Sang-Yeon ; Lim, Jaechang.
Digital Discovery.  3 (2024)  2 - p. 287-299 , 2024
Link: https://doi.org/10.1039/..
 
?
3

PIGNet: a physics-informed deep learning model toward gener..:

Moon, Seokhyun ; Zhung, Wonho ; Yang, Soojung..
Chemical Science.  13 (2022)  13 - p. 3661-3673 , 2022
Link: https://doi.org/10.1039/..
 
?
4

Scaffold-based molecular design with a graph generative mod..:

Lim, Jaechang ; Hwang, Sang-Yeon ; Moon, Seokhyun..
Chemical Science.  11 (2020)  4 - p. 1153-1164 , 2020
Link: https://doi.org/10.1039/..
 
?
5

PIGNet2: A Versatile Deep Learning-based Protein-Ligand Int..:

Moon, Seokhyun ; Hwang, Sang-Yeon ; Lim, Jaechang.
http://arxiv.org/abs/2307.01066.  , 2023
Link: http://arxiv.org/abs/230..
 
?
6

PIGNet2: A versatile deep learning-based protein-ligand int..:

Moon Seokhyun ; Hwang Sang-Yeon ; Lim Jaechang.
doi:10.5281/zenodo.8091219.  , 2023
Link: https://zenodo.org/recor..
 
?
7

GeoTMI:Predicting quantum chemical property with easy-to-ob..:

Kim, Hyeonsu ; Woo, Jeheon ; Kim, Seonghwan...
http://arxiv.org/abs/2304.03724.  , 2023
Link: http://arxiv.org/abs/230..
 
?
8

PIGNet: A physics-informed deep learning model toward gener..:

Moon Seokhyun
doi:10.5281/zenodo.6047983.  , 2022
Link: https://zenodo.org/recor..
 
?
9

PIGNet: a physics-informed deep learning model toward gener..:

Moon, Seokhyun ; Zhung, Wonho ; Yang, Soojung..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8966633/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
?
10

PIGNet: A physics-informed deep learning model toward gener..:

Moon, Seokhyun ; Zhung, Wonho ; Yang, Soojung..
http://arxiv.org/abs/2008.12249.  , 2020
Link: http://arxiv.org/abs/200..
 
?
11

Scaffold-based molecular design using graph generative mode:

Lim, Jaechang ; Hwang, Sang-Yeon ; Kim, Seungsu..
http://arxiv.org/abs/1905.13639.  , 2019
Link: http://arxiv.org/abs/190..
 
?
12

Scaffold-based molecular design with a graph generative mod..:

Lim, Jaechang ; Hwang, Sang-Yeon ; Moon, Seokhyun..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8146476/.  , 2019
Link: http://www.ncbi.nlm.nih...
 
?
13

25th Annual Computational Neuroscience Meeting: CNS-2016:

Sharpee, Tatyana O ; Destexhe, Alain ; Kawato, Mitsuo...
https://archiv.ub.uni-heidelberg.de/volltextserver/21803/1/12868_2016_Article_283.pdf.  , 2016
Link: https://archiv.ub.uni-he..
 
?
14

Rise of machine learning potentials in heterogeneous cataly..:

Choung, Seokhyun ; Park, Wongyu ; Moon, Jinuk.
Chemical Engineering Journal.  494 (2024)  - p. 152757 , 2024
Link: https://doi.org/10.1016/..
 
?
15

Theoretical tuning of local coordination environment of met..:

Choung, Seokhyun ; Yang, Heejae ; Moon, Jinuk...
Catalysis Today.  425 (2024)  - p. 114358 , 2024
Link: https://doi.org/10.1016/..
 
1-15