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2025 상반기

- 국방산업발전대전 미래 지상전력기획 심포지엄에 초청되어 발표하였습니다 (25.06.20)

- 두산에너빌리티 AVATAR 기술 세미나에 초청되어 발표하였습니다 (25.06.12)

- 한국원자력학회 2025 춘계학술대회에서 이민서, 신지석, Shilaj Baral, 정원웅 학생이 발표하였습니다 (25.05.22-23)

- 한국원자력학회 2025 춘계학술대회에서 인공지능 강습회를 성공적으로 주최하였습니다 (25.05.21)

- Sangam 학생이 SCIE 논문을 게재하였습니다. 축하합니다! (Nuclear Engineering and Technology, JCR 15.9%)

- 한국연구재단 SMR 디지털 혁신 검증·운영 기술개발 과제에 선정되었습니다! (공동연구책임자, 공동연구과제비 960 million KRW ) (25.04.29)

- 한국연구재단 다목적 차세대 용융염원자로 융복합인력 양성센터 과제에 선정되었습니다! (공동연구자) (25.04.29)

- Romit Maulik 교수님의 ISCL Seminar에 초청되어 발표하였습니다. SA-Transformer의 멋진 콜라보를 기대합니다!
(25.03.21, https://sites.google.com/view/iscl-seminar-series/)

- 이민서/신지석 학생이 3월부터 통합과정/석사과정을 시작하였습니다. 환영합니다! (25.03.01)

- 사단법인 AI프렌즈학회의 이사를 맡았습니다. AI프렌즈 화이팅! (25.03.01)

- 경희대학교 지능형에너지 융합전공 세미나에 초청되어 발표하였습니다 (25.02.28)

- KAIST 성지현 교수님 연구실에 초청되어 발표였습니다 (25.02.26)

- 2025 대한기계학회 물리지식기반 인공지능 워크샵에 초청되어 발표하였습니다 (25.02.11)

- 2025 대한기계학회 고급인공지능강습회를 Local Organizer로서 주최하였습니다 (25.01.20-22)

- George Karniadakis 교수님의 CRUNCH Seminar에 초청되어 발표하였습니다. DeepONet-RePIT의 멋진 콜라보를 기대합니다!

(25.01.17, https://youtu.be/z_Bz9pZoWF4?si=4EV9RAjW7zPrgHxh)

- JK-FLOW의 Operating Committe를 맡았습니다! (25.01.01, https://sites.google.com/view/kai-fukami/jk-flow)

Publications (SCIE)

(in preparation) S. Yu, D. Park, J. Jeon*, Validity Assessment of Thermal UFL Models for Rich-Hydrogen Gas Under SMR Severe Accident Conditions.
(in preparation) J. Shin, J. Jeon*, Scalability Study of NA-PINN: Heat Transfer System Simulation and Surrogate Modeling.
(in preparation) K. Kim & D. Park, S. Khanal, S. Lee*, J. Jeon*, Fine-Tuned Large Language Model for MELCOR No-Coding: the FLAMENCO Project.
(in preparation) S. Khanal & W. Jeong, J. Jeon*, Enhancing Time Resolution in Surrogate Modeling of Severe Accident Analysis Code with Attention Mechanism.
(in preparation) M. Lee, C. Song, B. Cho, M. Song*, J.Jeon*, Deep Neural Operator-Based Surrogate Model for CFD: Helical Coil Steam Generator in Small Modular Reactor.
(under review) S. Baral, Y. Lee, S. Khanal, J. Jeon*, Residual-guided AI-CFD hybrid method enables stable and scalable simulations: from 2D benchmarks to 3D applications, arXiv preprint arXiv:2510.21804.
(under review) S. Jo & S.H. Park, J. Shin, S. Ko*, S. Lee*, J. Jeon*, Engineering application of physics-informed neural networks for Saint-Venant’s torsion, arXiv preprint arXiv:2505.12389.
(under review) J. Shin, C. Kim, S. Yang, M. Lee, S.J. Kim, J. Jeon*, Node Assigned physics-informed neural networks for thermal-hydraulic system simulation: CVH/FL module, arXiv preprint arXiv:2504.16447.
S. Khanal, S. Baral, J. Jeon*, Comparison of CNN-based deep learning architectures for unsteady CFD acceleration on small datasets, Nuclear Engineering and Techonology 57 (2025) 103703.
J.Jeon*, J. Rabault, J. Vasanth, F. Alcántara-Ávilad, S. Barala, R. Vinuesa, Inductive biased-deep reinforcement learning methods for flow control: group-invariant and positional-encoding networks improve learning reproducibility and quality, Physics of Fluids 37 (2025) 077189 (JCR 6.1%).
J. Jeon, J. Lee, R. Vinuesa, S.J. Kim*, Residual-based physics-informed transfer learning: A hybrid method for accelerating long-term CFD simulations via deep learning, International Journal of Heat and Mass Transfer 220 (2024) 124900 (JCR 7.9%).
J. Jeon, J. Lee, S.J. Kim*, Finite volume method network for the acceleration of unsteady computational fluid dynamics: non-reacting and reacting flows, International Journal of Energy Research 46 (2022) 10770-10795 (JCR 1.2%).
J. Ahn, Y.M, Lee, J. Jeon, et al., High resolution of multicolor patterning of metal halide perovskite nanocrystal thin films through rapid evaporation assisted strategy, Advanced Materials Technology 7 (2022) 2200031.
J. Jeon, D. Shin, S.J. Kim*, Identification of the extinction mechanism of lean limit hydrogen flames based on Lewis number effect, International Journal of Heat and Mass Transfer 174 (2021) 121288 (JCR 7.9%).
J. Jeon, Y.S. Kim, H. Jung, S.J. Kim*, A mechanistic analysis of H2O and CO2 diluent effect on hydrogen flammability considering flame extinction mechanism, Nuclear Engineering and Technology 53 (2021) 3286-3297.
D. Shin, J. Jeon, T. Kim, J.H. Park, S.J. Kim*, Development of the thermal performance model using temperature gradient analysis for optimized design of steam surface condenser, International Journal of Heat and Mass Transfer 163 (2020) 120411 (JCR 7.9%).
J. Jeon, S.J. Kim*, Recent progress in hydrogen flammability prediction for the safe energy systems, Energies 13 (2020), 6263 (review paper).
Y.S. Kim, J. Jeon, C.H. Song, S.J. Kim, Improved prediction model for H2/CO combustion risk using a calculated non-adiabatic flame temperature model, Nuclear Engineering and Technology 52 (2020) 2836-2846.
J. Jeon, W. Choi, S.J. Kim*, A flammability limit model for hydrogen-air-diluent mixtures based on heat transfer characteristics in flame propagation, Nuclear Engineering and Technology 51 (2019) 1749-1757.
J. Jeon, Y.S. Kim, W. Choi, S.J. Kim*, Identification of hydrogen flammability in steam generator compartment of OPR1000 using MELCOR and CFX codes, Nuclear Engineering and Technology 51 (2019) 1939-1950.
J. Jeon, W. Choi, N.K. Kim, S.J. Kim*, Numerical investigation of in-vessel core coolability of PWR through an effective safety injection flow model using MELCOR simulation, Annals of Nuclear Energy 121 (2018) 350-360
W. Choi, T. Kim, J. Jeon, N. K. Kim, S. J. Kim*, Effect of molten corium behavior uncertainty on the severe accident progress, Science and Technology of Nuclear Installations, Article ID 5706409 (2018).
T. Kim, W. Choi, J. Jeon, N.K. Kim, H. Jung, S.J. Kim, A conceptual approach to eliminate bypass release of fission products by in-containment relief valve under SGTR accident, Science and Technology of Nuclear Installations, Article ID 5936214 (2018).
N.K. Kim, J. Jeon, W. Choi, S.J. Kim, Systematic hydrogen risk analysis of OPR 1000 containment before RPV failure under station blackout scenario, Annals of Nuclear Energy 116 (2018) 429-438.