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Cheng Peng
Cheng Peng
University of Notre Dame, Applied Mathematics and Computational Statistics
Verified email at nd.edu - Homepage
Title
Cited by
Cited by
Year
Inverse aerodynamic design of gas turbine blades using probabilistic machine learning
S Ghosh, G Anantha Padmanabha, C Peng, V Andreoli, S Atkinson, ...
Journal of Mechanical Design 144 (2), 021706, 2022
192022
Pro-ML IDeAS: A probabilistic framework for explicit inverse design using invertible neural network
S Ghosh, GA Padmanabha, C Peng, S Atkinson, V Andreoli, P Pandita, ...
AIAA Scitech 2021 Forum, 0465, 2021
112021
Development of a One-Equation Turbulence Model Based on k-ϵ Closure and its Extension for Computing Transitional Flows by Including an Intermittency Transport Equation
C Peng
12019
A Probabilistic Machine Learning Framework for Explicit Inverse Design of Industrial Gas Turbine Blades
S Ghosh, V Andreoli, GA Padmanabha, C Peng, S Atkinson, P Pandita, ...
Turbo Expo: Power for Land, Sea, and Air 85031, V09BT27A003, 2021
2021
Development of a Transition Model Based on One-Equation k-ϵ Closure
C Peng, RK Agarwal
AIAA Aviation 2019 Forum, 3324, 2019
2019
A New One Equation Turbulence Model Based on k-ϵ Closure with Elliptic Blending
C Peng, X Han, RK Agarwal
AIAA Scitech 2019 Forum, 1880, 2019
2019
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Articles 1–6