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Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic
  Machine Learning

Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning

17 August 2021
Sayan Ghosh
G. A. Padmanabha
Cheng Peng
Steven Atkinson
Valeria Andreoli
Piyush Pandita
T. Vandeputte
N. Zabaras
Liping Wang
    AI4CE
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Papers citing "Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning"

3 / 3 papers shown
Title
Deep Learning-Based Inverse Design for Engineering Systems:
  Multidisciplinary Design Optimization of Automotive Brakes
Deep Learning-Based Inverse Design for Engineering Systems: Multidisciplinary Design Optimization of Automotive Brakes
Seongsin Kim
Min-seok Jwa
Soon-Sik Lee
Sung-Moon Park
Namwoo Kang
AI4CE
16
11
0
27 Feb 2022
Reinforcement Learning based Sequential Batch-sampling for Bayesian
  Optimal Experimental Design
Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design
Yonatan Ashenafi
Piyush Pandita
Sayan Ghosh
OffRL
20
6
0
21 Dec 2021
Stochastic seismic waveform inversion using generative adversarial
  networks as a geological prior
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
L. Mosser
O. Dubrule
M. Blunt
GAN
AI4CE
66
207
0
10 Jun 2018
1