Fusion & plasma theory: Gyrokinetic simulation, data-driven modeling
AI + physics: PINN, Quantum ML, AI application for physics
Numerical simulation: Prediction, control, optimization
Tokamak experiment: KSTAR, VEST, DIII-D, ITER
Data-driven simulation and analysis of fusion plasmas
Virtual tokamak with advanced simulation & machine learning
Quantum machine learning theory & application
J. Seo†, Multivariate Unbounded Quantum Regression via Log-Ratio Probabilities Mitigating Barren Plateaus, IEEE Access 14 (2026) 4877. - Quantum ML
Y.-S. Na et al. (J. Seo), On FIRE mode in KSTAR, Nucl. Fusion 66 (2026) 026049. - Plasma physics
J. Seo†, Quantum mixture-density network for multimodal probabilistic prediction, IEEE Access 13 (2025) 199317. - Quantum ML
H. Nam, J. Seo†, Machine learning based energy confinement time extrapolation via multi-tokamak database, Fusion Eng. Des. 221 (2025) 115369. - AI + nuclear fusion
A. Jalalvand et al. (J. Seo), Multimodal super-resolution: Discovering hidden physics and its application to fusion plasmas, Nat. Commun. 16 (2025) 8506. - AI + nuclear fusion
R. Shousha et al. (J. Seo), Bridging the gap: Deploying AI-based Models in Real-Time Fusion Plasma Control Systems, IFAC-PapersOnLine 59 (2025) 198. - AI + nuclear fusion
J. Seo†, I.H. Kim, H. Nam, Leveraging physics-informed neural computing for transport simulations of nuclear fusion plasmas, Nucl. Eng. Tech. 56 (2024) 5396. - AI + nuclear fusion
M. Fasanelli, J. Seo†, Complex electromagnetism and coupled gravitational-electromagnetic waves in the interstellar medium, Phys. Scr. 99 (2024) 105544. - Plasma physics
J. Seo†, Past rewinding of fluid dynamics from noisy observation via physics-informed neural computing, Phys. Rev. E 110 (2024) 025302. - AI + physics
J. Kim et al. (J. Seo), Enhancing disruption prediction through Bayesian neural network in KSTAR, Plasma Phys. Control. Fusion 66 (2024) 075001. - AI + nuclear fusion
J. Seo et al., Avoiding fusion plasma tearing instability with deep reinforcement learning, Nature 626 (2024) 746. - AI + nuclear fusion
J. Seo†, Solving real-world optimization tasks using physics-informed neural computing, Sci. Rep. 14 (2024) 202. - AI + physics
R. Shousha*, J. Seo* et al., Machine learning-based real-time kinetic profile reconstruction in DIII-D, Nucl. Fusion 64 (2024) 026006. - AI + nuclear fusion
J. Kim et al. (J. Seo), Enhancing disruption prediction through Bayesian neural network in KSTAR, Plasma Phys. Control. Fusion 66 (2024) 075001. - AI + nuclear fusion
C.F. Maggi et al. (J. Seo), Overview of T and D–T results in JET with ITER-like wall, Nucl. Fusion 64 (2024) 112012. - Plasma physics
C.T. Holcomb et al. (J. Seo), DIII-D research to provide solutions for ITER and fusion energy, Nucl. Fusion 64 (2024) 112003. - Plasma physics
B. Kim et al. (J. Seo), Investigation of performance enhancement by balanced double-null shaping in KSTAR, Nucl. Fusion 63 (2023) 126013. - Plasma physics
Y.-S. Na*, J. Seo* et al., Observation of a new type of self-generated current in magnetized plasmas, Nat. Commun. 13 (2022) 6477. - Plasma physics
H. Han et al. (J. Seo), A sustained high-temperature fusion plasma regime facilitated by fast ions, Nature 609 (2022) 269. - Plasma physics
J. Seo et al., Development of operation trajectory design algorithm for control of multiple parameters using deep reinforcement learning in KSTAR, Nucl. Fusion 62 (2022) 086049. - AI + nuclear fusion
S. Mazzi et al. (J. Seo), Enhanced performance in fusion plasmas through turbulence suppression by MeV ions, Nat. Phys. 18 (2022) 776. - Plasma physics
J. Vega et al. (J. Seo), Disruption prediction with artificial intelligence techniques in tokamak plasmas, Nat. Phys. 18 (2022) 741. - AI + nuclear fusion
J. Mailloux et al. (J. Seo), Overview of JET results for optimising ITER operation, Nucl. Fusion 62 (2022) 042026. - Plasma physics
J. Seo et al., Feedforward beta control in the KSTAR tokamak by deep reinforcement learning, Nucl. Fusion 61 (2021) 106010. - AI + nuclear fusion
J. Seo et al., Ion heating by nonlinear Landau damping of high-n toroidal Alfvén eigenmodes in ITER, Nucl. Fusion 61 (2021) 096022. - Plasma physics
C.Y. Lee, J. Seo et al., Development of integrated suite of codes and its validation on KSTAR, Nucl. Fusion 61 (2021) 096020. - Plasma physics
J. Seo et al., Parametric study of linear stability of toroidal Alfvén eigenmode in JET and KSTAR, Nucl. Fusion 60 (2020) 066008. - Plasma physics
J.H. Na et al. (J. Seo), Availability of indirect atmospheric plasma from a dielectric barrier discharge device on biofilm-forming bacteria, Curr. Appl. Phys. 20 (2020) 1307. - Plasma physics
Y.-S. Na, et al. (J. Seo), On benchmarking of simulations of particle transport in ITER, Nucl. Fusion 59 (2019) 076026. - Plasma physics
M. Park, Y.-S. Na, J. Seo et al., Effect of electron cyclotron beam width to NTM stabilization by minimum seeking control in ITER, Nucl. Fusion 58 (2018) 016042. - Plasma physics
J. Seo et al., IAEA Workshop on AI for Accelerating Fusion and Plasma Science, Vienna (2023)
J. Seo et al., 7th Asia-Pacific Conference on Plasma Physics (AAPPS-DPP), Nagoya, Japan (2023)
J. Seo et al., IJCNN 2023, Queensland, Australia (2023)
J. Seo et al., 16th Japan-Korea workshop on modeling and simulation of magnetic fusion plasmas, virtual event (2022)
J. Seo, Seminar at Princeton University, Princeton, US (2022)
J. Seo et al., MHD workshop at 64th APS-DPP, Spokane, US (2022)
J. Seo, AI Frenz Seminar, virtual event (2022)
J. Seo et al., 63rd APS-DPP, Pennsylvania, US (2021)
J. Seo et al., 47th EPS Conference on Plasma Physics, virtual event (2021)
J. Seo et al., 15th Japan-Korea workshop on modeling and simulation of magnetic fusion plasmas, virtual event (2021)
J. Seo et al., 28th IAEA Fusion Energy Conference, virtual event (2020)
J. Seo et al., 2nd Trilateral International Workshop on Energetic Particle Physics, Seoul, Korea (2019)
J. Seo et al., 16th IAEA Technical Meeting on Energetic Particles, Shizuoka, Japan (2019)
