Jong Youl Choi

Most-cited papers

1. Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems

   Massimiliano Lupo Pasini, Pei Zhang, S. Reeve, Jong Youl Choi

   2022Machine Learning: Science and Technology26 citations Open access

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2. Scalable training of trustworthy and energy-efficient predictive graph foundation models for atomistic materials modeling: a case study with HydraGNN

   Massimiliano Lupo Pasini, Jong Youl Choi, Kshitij Mehta, Pei Zhang +7 more

   2024Journal of Supercomputing18 citations Open access

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3. How does ion temperature gradient turbulence depend on magnetic geometry? Insights from data and machine learning

   M. Landreman, Jong Youl Choi, C. Alves, Prasanna Balaprakash +3 more

   2025Journal of Plasma Physics11 citations Open access

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4. Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling*

   Chao-Jian Li, Zhi-Fan Ye, Massimiliano Lupo Pasini, Jong Youl Choi +3 more

   2025Design Automation Conference8 citations Open access

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5. DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets

   Jong Youl Choi, Massimiliano Lupo Pasini, Pei Zhang, Kshitij Mehta +3 more

   2023SC Workshops8 citations Open access

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6. A Neural Network Approach to Predict Gibbs Free Energy of Ternary Solid Solutions

   Paul Laiu, Ying Yang, Massimiliano Lupo Pasini, Jong Youl Choi +1 more

   2022Journal of Phase Equilibria and Diffusion8 citations Open access

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7. First-principles data for solid solution niobium-tantalum-vanadium alloys with body-centered-cubic structures

   Massimiliano Lupo Pasini, G. Samolyuk, M. Eisenbach, Jong Youl Choi +2 more

   2024Scientific Data7 citations Open access

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8. User Manual - HydraGNN: Distributed PyTorch Implementation of Multi-Headed Graph Convolutional Neural Networks

   Massimiliano Lupo Pasini, Jong Youl Choi, Pei Zhang, Justin Baker

   20233 citations Open access

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9. Automated Data Readiness for Scientific AI

   Sean R. Wilkinson, Valentine G. Anantharaj, Jong Youl Choi, Ketan Maheshwari +7 more

   2026arXiv.org1 citations

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10. Exascale Multi-Task Graph Foundation Models for Imbalanced, Multi-Fidelity Atomistic Data

    Massimiliano Lupo Pasini, Jong Youl Choi, Kshitij Mehta, R. Messerly +7 more

    2026arXiv.org1 citations

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11. MDLoader: A Hybrid Model-Driven Data Loader for Distributed Graph Neural Network Training

    Jonghyun Bae, Jong Youl Choi, Massimiliano Lupo Pasini, Kshitij Mehta +2 more

    2024SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis1 citations

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12. AI-Accelerated Gyrokinetic Predictions of Turbulent Transport for Stellarator Design Optimization and Experimental Planning

    R. Churchill, M. Landreman, Jong Youl Choi, Byoungchan Jang +9 more

    2026Plasma Physics and Controlled Fusion0 citations Open access

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13. MDLoader: A Hybrid Model-driven Data Loader for Distributed Deep Neural Networks Training

    Jonghyun Bae, Jong Youl Choi, Massimiliano Lupo Pasini, Kshitij Mehta +1 more

    2024IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum0 citations Open access

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14. A Proposal of Initial Stiffness Prediction Model for Geometric Parameters of T-Stub Connection

    H. J. Kim, Jong Youl Choi, Jae Hyeong Lee, Jae-Geun Yang

    2022Journal of Korean Society of Steel Construction0 citations

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