| Bayesian chemical reaction neural network for autonomous kinetic uncertainty quantification Q Li, H Chen, BC Koenig, S Deng Physical Chemistry Chemical Physics 25 (5), 3707-3717, 2023 | 18 | 2023 |
| Using shock tube species time-histories in Bayesian parameter estimation: Effective independent-data number and target selection H Chen, W Ji, SJ Cassady, AM Ferris, RK Hanson, S Deng Proceedings of the Combustion Institute 39 (4), 5299-5308, 2023 | 11 | 2023 |
| Morphology analysis on the effect of injection pressure on jet trajectory deviation of multi-jet sprays Z Wu, Z Zhang, W Li, H Chen, Z Li, J Deng Fuel 243, 362-370, 2019 | 9 | 2019 |
| Two-stage autoignition and combustion mode evolution in boundary layer flows above a cold flat plate H Chen, M Tao, Q Yang, H Ge, P Zhao Proceedings of the Combustion Institute 38 (1), 767-776, 2021 | 6 | 2021 |
| Uncertain lithium-ion cathode kinetic decomposition modeling via Bayesian chemical reaction neural networks BC Koenig, H Chen, Q Li, P Zhao, S Deng Proceedings of the Combustion Institute 40 (1-4), 105243, 2024 | 2 | 2024 |
| Bayesian Inference and Experimental Design of Combustion Kinetic Models H Chen Massachusetts Institute of Technology, 2024 | 1 | 2024 |
| Fast QoI-Oriented Bayesian Experimental Design with Unified Neural Response Surfaces for Kinetic Uncertainty Reduction H Chen, Q Li, S Deng Energy & Fuels (Virtual Issue on 2024 Rising Stars), 2024 | | 2024 |
Sili DengAssociate Professor at Massachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
