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Ki Sung Jung
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 7
Top Topics
Manifold Alignment
Big Data
Source Domain
High Pressure
Top Venues
CoRR
Comput. Phys. Commun.
NeurIPS
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Publications
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Jaemoon Lee
,
Ki Sung Jung
,
Qian Gong
,
Xiao Li
,
Scott Klasky
,
Jacqueline Chen
,
Anand Rangarajan
,
Sanjay Ranka
Machine Learning Techniques for Data Reduction of CFD Applications.
CoRR
(2024)
Bruno S. Soriano
,
Ki Sung Jung
,
Tarek Echekki
,
Jacqueline H. Chen
,
Mohammad Khalil
Probabilistic transfer learning methodology to expedite high fidelity simulation of reactive flows.
CoRR
(2024)
Ki Sung Jung
,
Tarek Echekki
,
Jacqueline H. Chen
,
Mohammad Khalil
Transfer learning for predicting source terms of principal component transport in chemically reactive flow.
CoRR
(2023)
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
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data.
NeurIPS
(2023)
Wai Tong Chung
,
Bassem Akoush
,
Pushan Sharma
,
Alex Tamkin
,
Ki Sung Jung
,
Jacqueline H. Chen
,
Jack Guo
,
Davy Brouzet
,
Mohsen Talei
,
Bruno Savard
,
Alexei Y. Poludnenko
,
Matthias Ihme
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data.
CoRR
(2023)
Danh Nam Nguyen
,
Ki Sung Jung
,
Jae Won Shim
,
Chun Sang Yoo
Real-fluid thermophysicalModels: An OpenFOAM-based library for reacting flow simulations at high pressure.
Comput. Phys. Commun.
273 (2022)
Wai Tong Chung
,
Ki Sung Jung
,
Jacqueline H. Chen
,
Matthias Ihme
The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning.
CoRR
(2022)