A surrogate model for the prediction of permeabilities and flow through porous media: a machine learning approach based on stochastic brownian motion

HIGHLIGHTS

  • who: Rainer Niekamp from the (UNIVERSITY) have published the article: A surrogate model for the prediction of permeabilities and flow through porous media: a machine learning approach based on stochastic Brownian motion, in the Journal: (JOURNAL)
  • what: In this contribution the authors propose a data-driven surrogate model for the prediction of permeabilities and laminar flow through two-dimensional random micro-heterogeneous materials; here Darcy`s law is used. For the encoding of the microstructure and the optimization of the surrogate model the authors compare two architectures the so-called model and the Fourier Convolutional . . .

     

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