arXiv Machine Learning By Ali Sadeghkhani, Brandon Bennett, Arash Rabbani

Property-Constrained 3D Porous Media Reconstruction from 2D Images via Conditional Generative Adversarial Networks

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arXiv:2607. 02693v1 Announce Type: cross Abstract: This study presents a conditional Generative Adversarial Network (cGAN) framework for generating 3D porous media volumes with controlled porosity, trained exclusively on 2D thin section images.

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arXiv Machine Learning
Jun 30

PCP-GAN: Property-Constrained Pore-scale image reconstruction via conditional Generative Adversarial Networks

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By Ali Sadeghkhani, Brandon Bennett, Masoud Babaei, Arash Rabbani
arXiv AI
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Generating Heterogeneous 3D Geological Microstructures from 2D Images via a Stable Diffusion-Adversarial Model

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arXiv Machine Learning
Jun 18

Investigation of Neural Network Methods for Reconstruction and Classification of Texture Images Under Conditions of Incomplete Information

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arXiv AI
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Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design

arXiv:2607. 24274v1 Announce Type: cross Abstract: Inverse design of three-dimensional porous media is central to applications in filtration, catalysis, energy storage, fuel cells, thermal management, and biomedical scaffolds, but remains challenging because many distinct pore geometries can share similar porosity or permeability while small structural changes can strongly affect transport behaviour.

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