副高级
副高级
姚松柏
姚松柏，副研究员，硕士生导师
研究方向包括：计算流体力学、高温气体动力学、数据驱动燃烧计算方法。
邮箱：yaosongbai@nimte.ac.cn
2018年获北京大学流体力学专业博士学位，2018-2021年在德国斯图加特大学燃烧技术研究所开展博士后研究。
作为项目负责人承担国家自然科学基金、浙江省自然科学基金（重点项目）、宁波市自然科学基金等项目；现任《含能材料》、《气体物理》等期刊青年编委，国际燃烧学会会员。已发表SCI论文30余篇，引用超过1000次，出版专著2本。 Combustion and Flame、Energy and AI、Physics of Fluids、Fuel、Energy & Fuels、工程热物理学报等期刊审稿人。
代表性论文：
[1] Y. Zhou, S. Yao*, J. Yu, W. Qian, P. Wang, W. Zhang, Endwall and leading-edge film cooling of turbine blades in a hydrogen-fueled rotating detonation combustor–turbine coupled system, Energy, 335 (2025) 138307.
[2] X. Tang, S. Yao*, C. Li, W. Zhang, J. Wang, Numerical study on operation modes, operational characteristics, and propulsion performance of rotating detonation engines, Flow, Turbulence and Combustion, 116 (2026) 25.
[3] J. Li, S. Yao*, Y. Lei, J. Yu, Y. Zhou, W. Zhang, Experimental investigation of rotating detonation engine fueled by liquid ethanol and oxygen-enriched air, Experimental Thermal and Fluid Science, 167 (2025) 111494.
[4] J. Yu, S. Yao*, J. Li, J. Li, R. Wang, W. Zhang, Experimental investigation of the hydrogen-air rotating detonation engine with cat-ear-shaped film cooling holes, Int. J. Hydrogen Energy 89 (2024) 1454–1465.
[5] S. Yao*, X. Tang, W. Zhang, Structure of a heterogeneous two-phase rotating detonation wave with ethanol–hydrogen–air mixture, Phys. Fluids 35 (2023) 031712.
[6] S. Yao*, X. Tang, W. Zhang, Adaptive operating mode switching process in rotating detonation engines, Acta Astronautica 205 (2023) 239–246.
[7] J. Li, Y. Lei, S. Yao*, J. Yu, J. Li, W. Zhang, Investigation of multi-stage evaporation and wave multiplicity of two-phase rotating detonation waves fueled by ethanol, Acta Astronautica 213 (2023) 418–430.
[8] S. Yao*, A. Kronenburg, O.T. Stein, Efficient modeling of the filtered density function in turbulent sprays using ensemble learning, Combust. Flame 237 (2022) 111722.
[9] S. Yao*, A. Kronenburg, A. Shamooni, O.T. Stein, W. Zhang, Gradient boosted decision trees for combustion chemistry integration, Appl. Energy Combust. Sci. 11 (2022) 100077.
[10] S. Yao, B. Wang, A. Kronenburg, O.T. Stein, Conditional scalar dissipation rate modeling for turbulent spray flames using artificial neural networks, Proc. Combust. Inst. 38 (2021) 3371–3378.
