Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Novel Approach for Data-Free, Physics-Informed Neural Networks in Fluid Mechanics Using the Principle of Minimum Pressure Gradient


    Beteiligte:

    Kongress:

    AIAA SCITECH 2024 Forum



    Erscheinungsdatum :

    01.01.2024




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Physics-Informed Neural Networks: Leveraging the Principle of Minimum Pressure Gradient for Unsteady Fluid Dynamics

    Elmaradny, Abdelrahman A. / Alhussein, Hussam / Atallah, Ahmed et al. | AIAA | 2025


    Orbit Determination Using Physics-Informed Neural Networks

    Loshelder, Gus E. / Sood, Rohan / Su, Weihua | AIAA | 2025


    Adopting Computational Fluid Dynamics Concepts for Physics-Informed Neural Networks

    Wassing, Simon / Langer, Stefan / Bekemeyer, Philipp | AIAA | 2025


    Estimating Invariant Sets Using Physics-Informed Neural Networks

    Tadiparthi, Venkata Vaishnav / Bhattacharya, Raktim | TIBKAT | 2022


    Estimating Invariant Sets using Physics-Informed Neural Networks

    Tadiparthi, Venkata Vaishnav / Bhattacharya, Raktim | AIAA | 2022