Choi, Jong Youl

1. Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules
   2022/07/22 by Jong Youl Choi, Choi, Jong Youl, Pei Zhang +7 · 2 citations
   Materials Science · Computer Science · #Machine Learning in Materials Science #Advanced Graph Neural Networks #Computational Drug Discovery Methods
2. A Neural Network Approach to Predict Gibbs Free Energy of Ternary Solid Solutions
   2022/09/12 by Paul Laiu, Ying Yang, Laiu, Paul +7 · 1 citation
   Computer Science · Materials Science · #Computational Drug Discovery Methods #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
3. How does ion temperature gradient turbulence depend on magnetic geometry? Insights from data and machine learning
   2025/02/17 by Matt Landreman, Jong Youl Choi, Landreman, Matt +11 · 3 citations
   Physics and Astronomy · #Magnetic confinement fusion research
4. Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling
   2025/04/10 by Chaojian Li, Zhifan Ye, Li, Chaojian +11 · 2 citations
   Materials Science · #Machine Learning in Materials Science #Electron and X-Ray Spectroscopy Techniques #X-ray Diffraction in Crystallography