Applicability of 2D algorithms for 3D characterization in digital rocks physics: an example of a machine learning-based super resolution image generation

Research article (Acta Geophysica, 2023) · cited 13× · AI/ML
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Applicability of 2D algorithms for 3D characterization in digital rocks physics: an example of a machine learning-based super resolution image generation

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Applicability of 2D algorithms for 3D characterization in digital rocks physics: an example of a machine learning-based super resolution image generation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Applicability of 2D algorithms for 3D characterization in digital rocks physics: an example of a machine learning-based super resolution image generation. Retrieved May 24, 2026, from https://4ort.xyz/entity/applicability-of-2d-algorithms-for-3d-characterization-in-digital-rocks-physics-an-example-of-a-machine-learning-based-s
MLA “Applicability of 2D algorithms for 3D characterization in digital rocks physics: an example of a machine learning-based super resolution image generation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/applicability-of-2d-algorithms-for-3d-characterization-in-digital-rocks-physics-an-example-of-a-machine-learning-based-s.
BibTeX @misc{4ortxyz_applicability-of-2d-algorithms-for-3d-characterization-in-digital-rocks-physics-an-example-of-a-machine-learning-based-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Applicability of 2D algorithms for 3D characterization in digital rocks physics: an example of a machine learning-based super resolution image generation}}, year = {2026}, url = {https://4ort.xyz/entity/applicability-of-2d-algorithms-for-3d-characterization-in-digital-rocks-physics-an-example-of-a-machine-learning-based-s}, note = {Accessed: 2026-05-24}}
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