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

G. A. Padmanabha

Steven Atkinson

Valeria Andreoli

Liping Wang

Papers citing "Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning"

6 / 6 papers shown

Title
Deep adaptive sampling for surrogate modeling without labeled data Xili Wang Keju Tang Jiayu Zhai Xiaoliang Wan Chao Yang 27 2 0 17 Feb 2024
Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs Keju Tang Jiayu Zhai Xiaoliang Wan Chao Yang 26 8 0 30 May 2023
Design Space Exploration and Explanation via Conditional Variational Autoencoders in Meta-model-based Conceptual Design of Pedestrian Bridges Vera M. Balmer Sophia V. Kuhn Rafael Bischof Luis Salamanca W. Kaufmann F. Pérez-Cruz M. Kraus 3DV 17 8 0 29 Nov 2022
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 18 11 0 27 Feb 2022
Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design Yonatan Ashenafi Piyush Pandita Sayan Ghosh OffRL 30 6 0 21 Dec 2021
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior L. Mosser O. Dubrule M. Blunt GAN AI4CE 89 206 0 10 Jun 2018