CORDIS Project
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This project develops an innovative framework called MENTOR, which utilizes multi-fidelity deep neural networks to improve uncertainty quantification and optimization in the design of advanced multistage turbomachinery. It aims to enhance the accuracy and efficiency of performance predictions under high-dimensional unc…
This fellowship aims to train a talented early career researcher and to contribute to the EU scientific excellence by developing an innovative Multi-fidelity dEep neural Network uncerTainty quantificatiOn and Robust optimization design (MENTOR) framework in order to handle the high dimensionality (HD) uncertain problems in the advanced multistage turbomachinery design process.
The applicant is a highly dedicated and motivated young researcher and has been stimulated to propose this novel idea. H…
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