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Jong Youl Choi — most-cited papers & profile · AI for Science
← authors
·
overview
Jong Youl Choi
8
papers ·
36
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules
2022 · 18 citations
Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems
2022 · 10 citations
How does ion temperature gradient turbulence depend on magnetic geometry? Insights from data and machine learning
2025 · 4 citations
Data Distillation for Neural Network Potentials toward Foundational Dataset
2023 · 2 citations
Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling
2025 · 1 citations
Scalable Training of Trustworthy and Energy-Efficient Predictive Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN
2024 · 1 citations
Exascale Multi-Task Graph Foundation Models for Imbalanced, Multi-Fidelity Atomistic Data
2026
Top co-authors
Massimiliano Lupo Pasini
· 5
Kshitij Mehta
· 3
Ashwin M. Aji
· 2
Jorda Polo
· 2
Karl W. Schulz
· 2
Pei Zhang
· 2
Prasanna Balaprakash
· 2
and Prasanna Balaprakash
· 1
Andrew Blanchard
· 1
Benajmin Stump
· 1
Caio Alves
· 1
Chaojian Li
· 1
Topics
Materials
Chemistry
Physics ML
Drug Discovery