| Differential diffusion effect on the stabilization characteristics of autoignited laminar lifted methane/hydrogen jet flames in heated coflow air KS Jung, SO Kim, T Lu, SH Chung, BJ Lee, CS Yoo Combustion and Flame 198, 305-319, 2018 | 29 | 2018 |
| Decreasing liftoff height behavior in diluted laminar lifted methane jet flames K Van, KS Jung, CS Yoo, S Oh, BJ Lee, MS Cha, J Park, SH Chung Proceedings of the Combustion Institute 37 (2), 2005-2012, 2019 | 24 | 2019 |
| On the flame stabilization of turbulent lifted hydrogen jet flames in heated coflows near the autoignition limit: A comparative DNS study KS Jung, SO Kim, T Lu, JH Chen, CS Yoo Combustion and Flame 233, 111584, 2021 | 21 | 2021 |
| A numerical study of the pyrolysis effect on autoignited laminar lifted dimethyl ether jet flames in heated coflow air KS Jung, BR Jung, SH Kang, SH Chung, CS Yoo Combustion and Flame 209, 225-238, 2019 | 13 | 2019 |
| On the flame structure and stabilization characteristics of autoignited laminar lifted n-heptane jet flames in heated coflow air KS Jung, SO Kim, SH Chung, CS Yoo Combustion and Flame 223, 307-319, 2021 | 10 | 2021 |
| Real-fluid thermophysicalModels: An OpenFOAM-based library for reacting flow simulations at high pressure DN Nguyen, KS Jung, JW Shim, CS Yoo Computer Physics Communications 273, 108264, 2022 | 9 | 2022 |
| Flame edge dynamics in counterflow nonpremixed flames of CH4/He versus air at low strain rates: An experimental and numerical study KS Jung, SH Kwon, SH Chung, J Park, CS Yoo Combustion and Flame 235, 111718, 2022 | 7 | 2022 |
| BLASTNet: A call for community-involved big data in combustion machine learning WT Chung, KS Jung, JH Chen, M Ihme Applications in Energy and Combustion Science 12, 100087, 2022 | 6 | 2022 |
| The bearable lightness of big data: Towards massive public datasets in scientific machine learning WT Chung, KS Jung, JH Chen, M Ihme arXiv preprint arXiv:2207.12546, 2022 | 4 | 2022 |
| NOx emission characteristics of CH4 versus O2/CO2 counterflow non-premixed flames at various pressures up to 300 atm KS Jung, HS Bak, DN Nguyen, BJ Lee, CS Yoo Fuel 299, 120411, 2021 | 4 | 2021 |
| On the oscillating flame characteristics in nonpremixed laminar coflow-jets: An experimental and numerical study S Oh, KH Van, KS Jung, CS Yoo, MS Cha, SH Chung, J Park Proceedings of the Combustion Institute 38 (2), 2049-2056, 2021 | 2 | 2021 |
| Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data WT Chung, B Akoush, P Sharma, A Tamkin, KS Jung, J Chen, J Guo, ... Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Large area organic thin film coating using a micro multi-nozzle jet head with side suction channels KY Shin, M Kang, MK Kim, KS Jung, CS Yoo, KT Kang, SH Lee International Journal of Precision Engineering and Manufacturing-Green …, 2021 | 1 | 2021 |
| A new index for the comparative evaluation of combustion local low-dimensional manifolds M Savarese, KS Jung, H Dave, JH Chen, A Parente Combustion and Flame 265, 113434, 2024 | | 2024 |
| On the application of principal component transport for compression ignition of lean fuel/air mixtures under engine relevant conditions KS Jung, A Kumar, T Echekki, JH Chen Combustion and Flame 260, 113204, 2024 | | 2024 |
| Transfer learning for predicting source terms of principal component transport in chemically reactive flow KS Jung, T Echekki, JH Chen, M Khalil arXiv preprint arXiv:2312.00356, 2023 | | 2023 |
| A numerical study on the effect of a vortex on the autoignition of H₂/air in a nonpremixed mixing layer SY Oh, KS Jung, CS Yoo KOSCO SYMPOSIUM 논문집, 58-61, 2023 | | 2023 |
| Transfer Learning of Closure Terms and in Reduced Order Models of Chemically Reactive Flows. K Jung, T Echekki, J Chen, M Khalil Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2022 | | 2022 |
| Ignition characteristics of nonpremixed H2/air mixture within a vortex with chemical explosive mode analysis SY Oh, KS Jung, CS Yoo The Combustion Institute, 2022 | | 2022 |
| Applications in Energy and Combustion Science BLASTNet: A Call for Community-Involved Big Data in Combustion Machine Learning. WT Chung, K Jung, J Chen, M Ihme Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2022 | | 2022 |
Chun Sang YooProfessor of Mechanical Engineering, Ulsan National Institute of Science and TechnologyVerified email at unist.ac.kr
