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Youhan Lee

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

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Journal of Computational Chemistry|October 9, 2016
Probing gas adsorption in MOFs using an efficient ab initio widom insertion Monte Carlo methodYouhan Lee, Roberta Poloni, Jihan Kim
Nature Communications|January 2, 2025
Multi-modal conditional diffusion model using signed distance functions for metal-organic frameworks generationJunkil Park, Youhan Lee, Jihan Kim
Sensors (Basel, Switzerland)|May 24, 2020
Reconstruction of Compton Edges in Plastic Gamma Spectra Using Deep AutoencoderByoungil Jeon, Youhan Lee, Myungkook Moon, et al.
Advanced Materials (Deerfield Beach, Fla.)|June 11, 2016
Superior Chemical Sensing Performance of Black Phosphorus: Comparison with MoS2 and GrapheneSoo-Yeon Cho, Youhan Lee, Hyeong-Jun Koh, et al.
Analytical Chemistry|April 15, 2020
Finding Hidden Signals in Chemical Sensors Using Deep LearningSoo-Yeon Cho, Youhan Lee, Sangwon Lee, et al.
ACS Nano|August 28, 2015
Highly Enhanced Gas Adsorption Properties in Vertically Aligned MoS2 LayersSoo-Yeon Cho, Seon Joon Kim, Youhan Lee, et al.
Plos One|July 20, 2021
A community-powered search of machine learning strategy space to find NMR property prediction modelsLars A Bratholm, Will Gerrard, Brandon Anderson, et al.
Nature Machine Intelligence|December 26, 2022
Deep learning models for predicting RNA degradation via dual crowdsourcingHannah K Wayment-Steele, Wipapat Kladwang, Andrew M Watkins, et al.
Arxiv|October 21, 2021
Deep learning models for predicting RNA degradation via dual crowdsourcingHannah K Wayment-Steele, Wipapat Kladwang, Andrew M Watkins, et al.
Biorxiv : the Preprint Server for Biology|January 9, 2026
Template-based RNA structure prediction advanced through a blind code competitionYouhan Lee, Shujun He, Toshiyuki Oda, et al.
Pageof 1

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

Sort By:
Pageof 1
Journal of Computational Chemistry|October 9, 2016
Probing gas adsorption in MOFs using an efficient ab initio widom insertion Monte Carlo methodYouhan Lee, Roberta Poloni, Jihan Kim
Nature Communications|January 2, 2025
Multi-modal conditional diffusion model using signed distance functions for metal-organic frameworks generationJunkil Park, Youhan Lee, Jihan Kim
Sensors (Basel, Switzerland)|May 24, 2020
Reconstruction of Compton Edges in Plastic Gamma Spectra Using Deep AutoencoderByoungil Jeon, Youhan Lee, Myungkook Moon, et al.
Advanced Materials (Deerfield Beach, Fla.)|June 11, 2016
Superior Chemical Sensing Performance of Black Phosphorus: Comparison with MoS2 and GrapheneSoo-Yeon Cho, Youhan Lee, Hyeong-Jun Koh, et al.
Analytical Chemistry|April 15, 2020
Finding Hidden Signals in Chemical Sensors Using Deep LearningSoo-Yeon Cho, Youhan Lee, Sangwon Lee, et al.
ACS Nano|August 28, 2015
Highly Enhanced Gas Adsorption Properties in Vertically Aligned MoS2 LayersSoo-Yeon Cho, Seon Joon Kim, Youhan Lee, et al.
Plos One|July 20, 2021
A community-powered search of machine learning strategy space to find NMR property prediction modelsLars A Bratholm, Will Gerrard, Brandon Anderson, et al.
Nature Machine Intelligence|December 26, 2022
Deep learning models for predicting RNA degradation via dual crowdsourcingHannah K Wayment-Steele, Wipapat Kladwang, Andrew M Watkins, et al.
Arxiv|October 21, 2021
Deep learning models for predicting RNA degradation via dual crowdsourcingHannah K Wayment-Steele, Wipapat Kladwang, Andrew M Watkins, et al.
Biorxiv : the Preprint Server for Biology|January 9, 2026
Template-based RNA structure prediction advanced through a blind code competitionYouhan Lee, Shujun He, Toshiyuki Oda, et al.
Pageof 1