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Herim Han

Showing results (1-10 of 5) with videos related to

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The Journal of Physical Chemistry Letters|April 7, 2021
Transfer Learning from Simulation to Experimental Data: NMR Chemical Shift PredictionsHerim Han, Sunghwan Choi
Journal of Chemical Theory and Computation|May 16, 2018
Solvation-Mediated Tuning of the Range-Separated Hybrid Functional: Self-Sufficiency through Screened ExchangeBora Joo, Herim Han, Eung-Gun Kim
Scientific Reports|May 15, 2025
Hybridization of SMILES and chemical-environment-aware tokens to improve performance of molecular structure generationHerim Han, Min Sun Yeom, Sunghwan Choi
Chemistry, an Asian Journal|April 26, 2022
Machine Learning Applications for Chemical ReactionsSanggil Park, Herim Han, Hyungjun Kim, et al.
Journal of Chemical Information and Modeling|March 14, 2025
Employing Automated Machine Learning (AutoML) Methods to Facilitate the <i>In Silico</i> ADMET Properties PredictionHerim Han, Bilal Shaker, Jin Hee Lee, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
The Journal of Physical Chemistry Letters|April 7, 2021
Transfer Learning from Simulation to Experimental Data: NMR Chemical Shift PredictionsHerim Han, Sunghwan Choi
Journal of Chemical Theory and Computation|May 16, 2018
Solvation-Mediated Tuning of the Range-Separated Hybrid Functional: Self-Sufficiency through Screened ExchangeBora Joo, Herim Han, Eung-Gun Kim
Scientific Reports|May 15, 2025
Hybridization of SMILES and chemical-environment-aware tokens to improve performance of molecular structure generationHerim Han, Min Sun Yeom, Sunghwan Choi
Chemistry, an Asian Journal|April 26, 2022
Machine Learning Applications for Chemical ReactionsSanggil Park, Herim Han, Hyungjun Kim, et al.
Journal of Chemical Information and Modeling|March 14, 2025
Employing Automated Machine Learning (AutoML) Methods to Facilitate the <i>In Silico</i> ADMET Properties PredictionHerim Han, Bilal Shaker, Jin Hee Lee, et al.
Pageof 1