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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
Autor:
Leerssen, Jeanne1,2 (AUTHOR) j.leerssen@vu.nl, Foster-Dingley, Jessica C.1 (AUTHOR), Lakbila-Kamal, Oti1,2 (AUTHOR), Dekkers, Laura M. S.1 (AUTHOR), Albers, Anne C. W.1 (AUTHOR), Ikelaar, Savannah L. C.1 (AUTHOR), Maksimovic, Teodora1 (AUTHOR), Wassing, Rick1 (AUTHOR), Houtman, Simon J.1 (AUTHOR), Bresser, Tom1,2 (AUTHOR), Blanken, Tessa F.1,2 (AUTHOR), te Lindert, Bart1 (AUTHOR), Ramautar, Jennifer R.1 (AUTHOR), Van Someren, Eus J. W.1,2,3 (AUTHOR)
Publikováno v:
BMC Psychiatry. 4/15/2020, Vol. 20 Issue 1, p1-11. 11p. 1 Diagram, 1 Chart.