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Jaechang Lim

Showing results (1-10 of 13) with videos related to

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Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|January 3, 2023
Molecular Generative Model via Retrosynthetically Prepared Chemical Building Block AssemblySeonghwan Seo, Jaechang Lim, Woo Youn Kim
ACS Applied Materials & Interfaces|May 11, 2018
Study of Li Adsorption on Graphdiyne Using Hybrid DFT CalculationsJaewook Kim, Sungwoo Kang, Jaechang Lim, et al.
The Journal of Chemical Physics|December 18, 2016
Outstanding performance of configuration interaction singles and doubles using exact exchange Kohn-Sham orbitals in real-space numerical grid methodJaechang Lim, Sunghwan Choi, Jaewook Kim, et al.
Journal of Chemical Information and Modeling|December 11, 2019
Molecular Generative Model Based on an Adversarially Regularized AutoencoderSeung Hwan Hong, Seongok Ryu, Jaechang Lim, et al.
Journal of Cheminformatics|July 12, 2018
Molecular generative model based on conditional variational autoencoder for de novo molecular designJaechang Lim, Seongok Ryu, Jin Woo Kim, et al.
Journal of Chemical Information and Modeling|August 31, 2023
DFRscore: Deep Learning-Based Scoring of Synthetic Complexity with Drug-Focused Retrosynthetic Analysis for High-Throughput Virtual ScreeningHyeongwoo Kim, Kyunghoon Lee, Chansu Kim, et al.
Chemical Science|April 18, 2022
PIGNet: a physics-informed deep learning model toward generalized drug-target interaction predictionsSeokhyun Moon, Wonho Zhung, Soojung Yang, et al.
Chemical Science|February 7, 2022
Drug-likeness scoring based on unsupervised learningKyunghoon Lee, Jinho Jang, Seonghwan Seo, et al.
Scientific Reports|November 19, 2017
Non-empirical atomistic dipole-interaction-model for quantum plasmon simulation of nanoparticlesJaechang Lim, Sungwoo Kang, Jaewook Kim, et al.
Chemical Science|June 4, 2021
Scaffold-based molecular design with a graph generative modelJaechang Lim, Sang-Yeon Hwang, Seokhyun Moon, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|January 3, 2023
Molecular Generative Model via Retrosynthetically Prepared Chemical Building Block AssemblySeonghwan Seo, Jaechang Lim, Woo Youn Kim
ACS Applied Materials & Interfaces|May 11, 2018
Study of Li Adsorption on Graphdiyne Using Hybrid DFT CalculationsJaewook Kim, Sungwoo Kang, Jaechang Lim, et al.
The Journal of Chemical Physics|December 18, 2016
Outstanding performance of configuration interaction singles and doubles using exact exchange Kohn-Sham orbitals in real-space numerical grid methodJaechang Lim, Sunghwan Choi, Jaewook Kim, et al.
Journal of Chemical Information and Modeling|December 11, 2019
Molecular Generative Model Based on an Adversarially Regularized AutoencoderSeung Hwan Hong, Seongok Ryu, Jaechang Lim, et al.
Journal of Cheminformatics|July 12, 2018
Molecular generative model based on conditional variational autoencoder for de novo molecular designJaechang Lim, Seongok Ryu, Jin Woo Kim, et al.
Journal of Chemical Information and Modeling|August 31, 2023
DFRscore: Deep Learning-Based Scoring of Synthetic Complexity with Drug-Focused Retrosynthetic Analysis for High-Throughput Virtual ScreeningHyeongwoo Kim, Kyunghoon Lee, Chansu Kim, et al.
Chemical Science|April 18, 2022
PIGNet: a physics-informed deep learning model toward generalized drug-target interaction predictionsSeokhyun Moon, Wonho Zhung, Soojung Yang, et al.
Chemical Science|February 7, 2022
Drug-likeness scoring based on unsupervised learningKyunghoon Lee, Jinho Jang, Seonghwan Seo, et al.
Scientific Reports|November 19, 2017
Non-empirical atomistic dipole-interaction-model for quantum plasmon simulation of nanoparticlesJaechang Lim, Sungwoo Kang, Jaewook Kim, et al.
Chemical Science|June 4, 2021
Scaffold-based molecular design with a graph generative modelJaechang Lim, Sang-Yeon Hwang, Seokhyun Moon, et al.
Pageof 2