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    Titel :

    PRO-ML IDEAS: A PROBABILISTIC FRAMEWORK FOR EXPLICIT INVERSE DESIGN USING INVERTIBLE NEURAL NETWORK


    Beteiligte:
    Ghosh, Sayan (Autor:in) / Padmanabha, Govinda A. (Autor:in) / Peng, Cheng (Autor:in) / Atkinson, Steven (Autor:in) / Andreoli, Valeria (Autor:in) / Pandita, Piyush (Autor:in) / Vandeputte, Thomas (Autor:in) / Zabaras, Nicholas (Autor:in) / Wang, Liping (Autor:in) / Khan, Genghis (Autor:in)

    Kongress:

    AIAA SciTech Forum and Exposition ; 2021 ; Online



    Erscheinungsdatum :

    2021


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch



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