Introduction to Higher Order Neural Networks Based Riemann Solver

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F24%3A00374862" target="_blank" >RIV/68407700:21220/24:00374862 - isvavai.cz</a>
Result on the web
<a href="https://am2024.uniza.sk/" target="_blank" >https://am2024.uniza.sk/</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Introduction to Higher Order Neural Networks Based Riemann Solver
Original language description
Riemann problem stands as a cornerstone in the domain of computational fluid dynamics (CFD), particularly in the context of finite volume methods (FVM). This contribution deals with approximation of the exact Riemann solver by means of artificial neural networks that can offer more accurate solution than standard widely used approximative solvers. Furthermore, the evaluation of the numeric flux can be much faster.
Czech name
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Czech description
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Project
<a href="/en/project/EF16_019%2F0000826" target="_blank" >EF16_019/0000826: Center of Advanced Aerospace Technology</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
25th International Scientific Conference APPLIED MECHANICS 2024 AM 2024 BOOK OF ARTICLES
ISBN
978-80-554-2090-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
77-81
Publisher name
University of Žilina
Place of publication
Žilina
Event location
Vysoké Tatry
Event date
Apr 17, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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