Mathematical Guarantees for Physics-Informed Neural Networks (Tim De Ryck)

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  • Опубликовано: 25 авг 2024
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Комментарии • 4

  • @emielvereycken9134
    @emielvereycken9134 Год назад

    Interesting talk, thanks!

  • @justinyoung7087
    @justinyoung7087 Год назад

    Hello, awesome research! Can you inform me as to why you did not need to generate data? Thank you!

  • @fadoobaba
    @fadoobaba 5 месяцев назад

    so what is size of neural network for these?
    x_mom = (u * u_x) + (v * u_y) + p_x - ((1 / Re) * (u_xx + u_yy)) # x momentum
    y_mom = (u * v_x) + (v * v_y) + p_y - ((1 / Re) * (v_xx + v_yy)) # y momentum
    cont = u_x + v_y # continuity?