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 | 25 | 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 | 15 | 2019 |
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 | 11 | 2022 |
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 | 11 | 2022 |
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 |
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 | 8 | 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 |
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 | 3 | 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 | 2 | 2024 |
BLASTNet simulation dataset WT Chung, M Ihme, KS Jung, JH Chen, J Guo, D Brouzet, M Talei, ... Zenodo, 2024 | 2 | 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 | 2 | 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 |
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 | 1 | 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 | 1 | 2023 |
Probabilistic transfer learning methodology to expedite high fidelity simulation of reactive flows BS Soriano, KS Jung, T Echekki, JH Chen, M Khalil arXiv preprint arXiv:2405.10944, 2024 | | 2024 |
Machine Learning Techniques for Data Reduction of CFD Applications J Lee, KS Jung, Q Gong, X Li, S Klasky, J Chen, A Rangarajan, S Ranka arXiv preprint arXiv:2404.18063, 2024 | | 2024 |
A Hessian-based transfer learning approach for artificial neural networks based chemical kinetics with a sparse dataset KS Jung, BS Soriano, JH Chen, M Khalil Proceedings of the Combustion Institute 40 (1-4), 105390, 2024 | | 2024 |