Gyoung S. Na
Digital Science (United States)(US)Korea Research Institute of Chemical Technology(KR)
Publications by Year
Research Areas
Machine Learning in Materials Science, Computational Drug Discovery Methods, Catalysis and Oxidation Reactions, X-ray Diffraction in Crystallography, Various Chemistry Research Topics
Most-Cited Works
- → DILOF(2018)78 cited
- → Predicting thermoelectric properties from chemical formula with explicitly identifying dopant effects(2021)67 cited
- → A public database of thermoelectric materials and system-identified material representation for data-driven discovery(2022)52 cited
- → Tuplewise Material Representation Based Machine Learning for Accurate Band Gap Prediction(2020)51 cited
- → Machine-guided representation for accurate graph-based molecular machine learning(2020)36 cited
- → Reaction condition optimization for non-oxidative conversion of methane using artificial intelligence(2020)35 cited
- → Efficient learning rate adaptation based on hierarchical optimization approach(2022)29 cited
- → Artificial Intelligence for Learning Material Synthesis Processes of Thermoelectric Materials(2023)18 cited
- → Costless Performance Improvement in Machine Learning for Graph-Based Molecular Analysis(2020)17 cited
- → Shift-Robust Molecular Relational Learning with Causal Substructure(2023)14 cited