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Guwon Jung

Showing results (1-10 of 8) with videos related to

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The Journal of Chemical Physics|November 16, 2023
Gradient boosted and statistical feature selection workflow for materials property predictionsSon Gyo Jung, Guwon Jung, Jacqueline M Cole
Journal of Chemical Information and Modeling|February 6, 2024
Automatic Prediction of Band Gaps of Inorganic Materials Using a Gradient Boosted and Statistical Feature Selection WorkflowSon Gyo Jung, Guwon Jung, Jacqueline M Cole
Journal of Chemical Information and Modeling|December 23, 2024
Automatic Prediction of Molecular Properties Using Substructure Vector Embeddings within a Feature Selection WorkflowSon Gyo Jung, Guwon Jung, Jacqueline M Cole
Journal of Chemical Information and Modeling|September 17, 2024
Machine-Learning Predictions of Critical Temperatures from Chemical Compositions of SuperconductorsSon Gyo Jung, Guwon Jung, Jacqueline M Cole
Journal of Chemical Information and Modeling|February 29, 2024
Automatic Prediction of Peak Optical Absorption Wavelengths in Molecules Using Convolutional Neural NetworksSon Gyo Jung, Guwon Jung, Jacqueline M Cole
Journal of Chemical Information and Modeling|October 1, 2024
Predictive Modeling of High-Entropy Alloys and Amorphous Metallic Alloys Using Machine LearningSon Gyo Jung, Guwon Jung, Jacqueline M Cole
Journal of Chemical Information and Modeling|August 7, 2024
Machine-Learning Prediction of Curie Temperature from Chemical Compositions of Ferromagnetic MaterialsSon Gyo Jung, Guwon Jung, Jacqueline M Cole
Chemical Science|April 3, 2023
Automatic materials characterization from infrared spectra using convolutional neural networksGuwon Jung, Son Gyo Jung, Jacqueline M Cole
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
The Journal of Chemical Physics|November 16, 2023
Gradient boosted and statistical feature selection workflow for materials property predictionsSon Gyo Jung, Guwon Jung, Jacqueline M Cole
Journal of Chemical Information and Modeling|February 6, 2024
Automatic Prediction of Band Gaps of Inorganic Materials Using a Gradient Boosted and Statistical Feature Selection WorkflowSon Gyo Jung, Guwon Jung, Jacqueline M Cole
Journal of Chemical Information and Modeling|December 23, 2024
Automatic Prediction of Molecular Properties Using Substructure Vector Embeddings within a Feature Selection WorkflowSon Gyo Jung, Guwon Jung, Jacqueline M Cole
Journal of Chemical Information and Modeling|September 17, 2024
Machine-Learning Predictions of Critical Temperatures from Chemical Compositions of SuperconductorsSon Gyo Jung, Guwon Jung, Jacqueline M Cole
Journal of Chemical Information and Modeling|February 29, 2024
Automatic Prediction of Peak Optical Absorption Wavelengths in Molecules Using Convolutional Neural NetworksSon Gyo Jung, Guwon Jung, Jacqueline M Cole
Journal of Chemical Information and Modeling|October 1, 2024
Predictive Modeling of High-Entropy Alloys and Amorphous Metallic Alloys Using Machine LearningSon Gyo Jung, Guwon Jung, Jacqueline M Cole
Journal of Chemical Information and Modeling|August 7, 2024
Machine-Learning Prediction of Curie Temperature from Chemical Compositions of Ferromagnetic MaterialsSon Gyo Jung, Guwon Jung, Jacqueline M Cole
Chemical Science|April 3, 2023
Automatic materials characterization from infrared spectra using convolutional neural networksGuwon Jung, Son Gyo Jung, Jacqueline M Cole
Pageof 1