GT2021-58842 A Probabilistic Machine Learning Framework for Explicit Inverse Design of Industrial Gas Turbine Blades

von Ghosh, Sayan
Veröffentlicht in ASME Turbo Expo (2021 : Online) Proceedings of ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition ; Volume 9, B: Structures and dynamics: Fatigue, fracture, and life prediction; probabilistic methods; rotordynamics; structural mechanics and vibration (2021)

PRO-ML IDEAS: A PROBABILISTIC FRAMEWORK FOR EXPLICIT INVERSE DESIGN USING INVERTIBLE NEURAL NETWORK

von Ghosh, Sayan
Veröffentlicht in AIAA SciTech Forum and Exposition (2021 : Online) Multidisciplinary design optimization ; Volume 1 of 2 (2021)

PRO-ML IDEAS: A PROBABILISTIC FRAMEWORK FOR EXPLICIT INVERSE DESIGN USING INVERTIBLE NEURAL NETWORK

von Ghosh, Sayan
Veröffentlicht in AIAA SciTech Forum and Exposition (2021 : Online) Applied aerodynamics ; Volume 2 of 5 (2021)

PRO-ML IDEAS: A PROBABILISTIC FRAMEWORK FOR EXPLICIT INVERSE DESIGN USING INVERTIBLE NEURAL NETWORK

von Ghosh, Sayan
Veröffentlicht in AIAA SciTech Forum and Exposition (2021 : Online) Non-deterministic approaches (2021)