A Computationally Efficient Hybrid Neural Network Architecture for Porous Media: Integrating Convolutional and Graph Neural Networks for Improved Property Predictions

Ejemplares similares

• An End-to-End Differentiable, Graph Neural Network-Embedded Pore Network Model for Permeability Prediction
  por: Zhao, Qingqi, et al.
  Publicado: (2025)
• Neural Networks for Predicting Permeability Tensors of 2D Porous Media: Comparison of Convolution- and Transformer-based Architectures
  por: Vargdal, Sigurd, et al.
  Publicado: (2025)
• EPBench: A Benchmark for Short-term Earthquake Prediction with Neural Networks
  por: Xu, Zhiyu, et al.
  Publicado: (2025)
• Pore-scale insights into the role of micro fractures on permeability of fractured porous media
  por: Guo, Ruichang, et al.
  Publicado: (2025)
• Using Convolutional Neural Networks for Denoising and Deblending of Marine Seismic Data
  por: Slang, Sigmund, et al.
  Publicado: (2024)