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Rock Solid Augmentation: AI-Driven Digital Rock Analysis
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Rock Solid Augmentation: AI-Driven Digital Rock Analysis
Editors’ Highlights are summaries of recent papers by AGU’s journal editors. Source: Water Resources Research Rocks are important in subsurface engineering, but they are mostly invisible, extremely heterogeneous, and difficult to access. Thus, data on rock properties is scarce and uncertainties are large. Liu et al. [2025] provide new AI technologies to augment existing rock data sets, which maintain important geometric characteristics. Now real…
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