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pro vyhledávání: '"Wassing, Simon"'
Physics-informed neural networks have gained popularity as a deep-learning based method for solving problems governed by partial differential equations. Especially for engineering applications, this new method seems to be promising since it can solve
Externí odkaz:
http://arxiv.org/abs/2408.17364
Publikováno v:
C.&Fl. 270 (2024)
The numerical approximation of solutions to the compressible Euler and Navier-Stokes equations is a crucial but challenging task with relevance in various fields of science and engineering. Recently, methods from deep learning have been successfully
Externí odkaz:
http://arxiv.org/abs/2307.14045
Publikováno v:
In Computers and Fluids 15 February 2024 270
Publikováno v:
CEAS Aeronautical Journal; 20240101, Issue: Preprints p1-18, 18p