Ki Sung Jung

According to our database, Ki Sung Jung authored at least 6 papers between 2022 and 2024.

Collaborative distances:

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

2024

Probabilistic transfer learning methodology to expedite high fidelity simulation of reactive flows.

Bruno S. Soriano, Ki Sung Jung, Tarek Echekki, Jacqueline H. Chen, Mohammad Khalil

CoRR, 2024

Machine Learning Techniques for Data Reduction of CFD Applications.

Jaemoon Lee, Ki Sung Jung, Qian Gong, Xiao Li, Scott Klasky, Jacqueline Chen, Anand Rangarajan, Sanjay Ranka

CoRR, 2024

2023

Transfer learning for predicting source terms of principal component transport in chemically reactive flow.

Ki Sung Jung, Tarek Echekki, Jacqueline H. Chen, Mohammad Khalil

CoRR, 2023

Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data.

Wai Tong Chung, Bassem Akoush, Pushan Sharma, Alex Tamkin, Ki Sung Jung, Jacqueline Chen, Jack Guo, Davy Brouzet, Mohsen Talei, Bruno Savard, Alexei Y. Poludnenko, Matthias Ihme

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Real-fluid thermophysicalModels: An OpenFOAM-based library for reacting flow simulations at high pressure.

Danh Nam Nguyen, Ki Sung Jung, Jae Won Shim, Chun Sang Yoo

Comput. Phys. Commun., 2022

The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning.

Wai Tong Chung, Ki Sung Jung, Jacqueline H. Chen, Matthias Ihme

CoRR, 2022