Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Youngchun Kwon

Showing results (1-10 of 17) with videos related to

Pageof 2
Sort By:
Journal of Cheminformatics|March 1, 2024
Improving chemical reaction yield prediction using pre-trained graph neural networksJongmin Han, Youngchun Kwon, Youn-Suk Choi, et al.
Scientific Reports|August 28, 2021
Evolutionary design of molecules based on deep learning and a genetic algorithmYoungchun Kwon, Seokho Kang, Youn-Suk Choi, et al.
Scientific Reports|October 26, 2021
Molecular search by NMR spectrum based on evaluation of matching between spectrum and moleculeYoungchun Kwon, Dongseon Lee, Youn-Suk Choi, et al.
Journal of Chemical Information and Modeling|November 22, 2022
Generative Modeling to Predict Multiple Suitable Conditions for Chemical ReactionsYoungchun Kwon, Sun Kim, Youn-Suk Choi, et al.
Journal of Cheminformatics|January 11, 2022
Uncertainty-aware prediction of chemical reaction yields with graph neural networksYoungchun Kwon, Dongseon Lee, Youn-Suk Choi, et al.
Journal of Chemical Information and Modeling|July 22, 2020
Predictive Modeling of NMR Chemical Shifts without Using Atomic-Level AnnotationsSeokho Kang, Youngchun Kwon, Dongseon Lee, et al.
Physical Chemistry Chemical Physics : PCCP|November 22, 2021
Data undersampling models for the efficient rule-based retrosynthetic planningMin Sik Park, Dongseon Lee, Youngchun Kwon, et al.
Journal of Cheminformatics|April 11, 2025
Enhancing chemical reaction search through contrastive representation learning and human-in-the-loopYoungchun Kwon, Hyunjeong Jeon, Joonhyuk Choi, et al.
Journal of Chemical Information and Modeling|April 7, 2020
Neural Message Passing for NMR Chemical Shift PredictionYoungchun Kwon, Dongseon Lee, Youn-Suk Choi, et al.
Journal of Cheminformatics|January 12, 2021
Compressed graph representation for scalable molecular graph generationYoungchun Kwon, Dongseon Lee, Youn-Suk Choi, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Journal of Cheminformatics|March 1, 2024
Improving chemical reaction yield prediction using pre-trained graph neural networksJongmin Han, Youngchun Kwon, Youn-Suk Choi, et al.
Scientific Reports|August 28, 2021
Evolutionary design of molecules based on deep learning and a genetic algorithmYoungchun Kwon, Seokho Kang, Youn-Suk Choi, et al.
Scientific Reports|October 26, 2021
Molecular search by NMR spectrum based on evaluation of matching between spectrum and moleculeYoungchun Kwon, Dongseon Lee, Youn-Suk Choi, et al.
Journal of Chemical Information and Modeling|November 22, 2022
Generative Modeling to Predict Multiple Suitable Conditions for Chemical ReactionsYoungchun Kwon, Sun Kim, Youn-Suk Choi, et al.
Journal of Cheminformatics|January 11, 2022
Uncertainty-aware prediction of chemical reaction yields with graph neural networksYoungchun Kwon, Dongseon Lee, Youn-Suk Choi, et al.
Journal of Chemical Information and Modeling|July 22, 2020
Predictive Modeling of NMR Chemical Shifts without Using Atomic-Level AnnotationsSeokho Kang, Youngchun Kwon, Dongseon Lee, et al.
Physical Chemistry Chemical Physics : PCCP|November 22, 2021
Data undersampling models for the efficient rule-based retrosynthetic planningMin Sik Park, Dongseon Lee, Youngchun Kwon, et al.
Journal of Cheminformatics|April 11, 2025
Enhancing chemical reaction search through contrastive representation learning and human-in-the-loopYoungchun Kwon, Hyunjeong Jeon, Joonhyuk Choi, et al.
Journal of Chemical Information and Modeling|April 7, 2020
Neural Message Passing for NMR Chemical Shift PredictionYoungchun Kwon, Dongseon Lee, Youn-Suk Choi, et al.
Journal of Cheminformatics|January 12, 2021
Compressed graph representation for scalable molecular graph generationYoungchun Kwon, Dongseon Lee, Youn-Suk Choi, et al.
Pageof 2