An end-to-end three-dimensional reconstruction framework of porous media from a single two-dimensional image based on deep learning
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Publication:2021153
DOI10.1016/j.cma.2020.113043zbMath1506.74105OpenAlexW3034613356MaRDI QIDQ2021153
Publication date: 26 April 2021
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cma.2020.113043
porous mediadeep learning3D microstructure reconstructionconditional generative adversarial network (CGAN)
Learning and adaptive systems in artificial intelligence (68T05) Fluid-solid interactions (including aero- and hydro-elasticity, porosity, etc.) (74F10) Inverse problems in equilibrium solid mechanics (74G75)
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Uses Software
Cites Work
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