Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:

    Conference:

    AIAA SCITECH 2024 Forum



    Publication date :

    2024-01-01




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    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