Joongoo Jeon

According to our database, Joongoo Jeon authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Numerical Method for Coupling Parameterized Physics-Informed Neural Networks and FDM for Advanced Thermal-Hydraulic System Simulation.

Jeesuk Shin, Donggyun Seo, Sihyeong Yu, Joongoo Jeon

CoRR, April, 2026

Task-aware evolution in physics-informed neural networks: Application to Saint-Venant torsion problems.

Su Yeong Jo, Sanghyeon Park, Jeesuk Shin, Jongcheon Park, Hosung Kim, Seungchan Ko, Sangseung Lee, Joongoo Jeon

Eng. Appl. Artif. Intell., 2026

2025

Residual-guided AI-CFD hybrid method enables stable and scalable simulations: from 2D benchmarks to 3D applications.

Shilaj Baral, Youngkyu Lee, Sangam Khanal, Joongoo Jeon

CoRR, October, 2025

Engineering application of physics-informed neural networks for Saint-Venant torsion.

Su Yeong Jo, Sanghyeon Park, Seungchan Ko, Jongcheon Park, Hosung Kim, Sangseung Lee, Joongoo Jeon

CoRR, May, 2025

Node Assigned physics-informed neural networks for thermal-hydraulic system simulation: CVH/FL module.

Jeesuk Shin, Cheolwoong Kim, Sunwoong Yang, Minseo Lee, Sung Joong Kim, Joongoo Jeon

CoRR, April, 2025

Comparison of CNN-based deep learning architectures for unsteady CFD acceleration on small datasets.

Sangam Khanal, Shilaj Baral, Joongoo Jeon

CoRR, February, 2025

2022

Physics-Informed Transfer Learning Strategy to Accelerate Unsteady Fluid Flow Simulations.

Joongoo Jeon, Juhyeong Lee, Hamidreza Eivazi, Ricardo Vinuesa, Sung Joong Kim

CoRR, 2022

2021

FVM Network to Reduce Computational Cost of CFD Simulation.

Joongoo Jeon, Sung Joong Kim

CoRR, 2021