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pro vyhledávání: '"Kaustubh Tangsali"'
Autor:
Kaustubh Tangsali, Akshay Subramaniam, Wonmin Byeon, Mohammad Amin Nabian, Zhiwei Fang, Max Rietmann, Susheela Narasimhan, Oliver Hennigh, Sanjay Choudhry
Publikováno v:
Computational Science – ICCS 2021 ISBN: 9783030779764
ICCS (5)
ICCS (5)
We present SimNet, an AI-driven multi-physics simulation framework, to accelerate simulations across a wide range of disciplines in science and engineering. Compared to traditional numerical solvers, SimNet addresses a wide range of use cases - coupl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3817dea67b3657c2e38de8cbd7744929
https://doi.org/10.1007/978-3-030-77977-1_36
https://doi.org/10.1007/978-3-030-77977-1_36
Publikováno v:
Journal of Mechanical Design. 143
The generalizability of a convolutional encoder–decoder based model in predicting aerodynamic flow field across various flow regimes and geometric variation is assessed. A rich master dataset consisting of 11,000+ simulations including cambered, un