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A computationally efficient modeling of flow in complex porous media by coupling multiscale digital rock physics and deep learning: Improving the tradeoff between resolution and field-of-view
Research article (Advances in Water Resources, 2024) · cited 24× · AI/ML
A computationally efficient modeling of flow in complex porous media by coupling multiscale digital rock physics and deep learning: Improving the tradeoff between resolution and field-of-view
Summary
A computationally efficient modeling of flow in complex porous media by coupling multiscale digital rock physics and deep learning: Improving the tradeoff between resolution and field-of-view is a scholarly article[1].
Key Facts
A computationally efficient modeling of flow in complex porous media by coupling multiscale digital rock physics and deep learning: Improving the tradeoff between resolution and field-of-view's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A computationally efficient modeling of flow in complex porous media by coupling multiscale digital rock physics and deep learning: Improving the tradeoff between resolution and field-of-view. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-computationally-efficient-modeling-of-flow-in-complex-porous-media-by-coupling-multiscale-digital-rock-physics-and-dee
MLA“A computationally efficient modeling of flow in complex porous media by coupling multiscale digital rock physics and deep learning: Improving the tradeoff between resolution and field-of-view.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-computationally-efficient-modeling-of-flow-in-complex-porous-media-by-coupling-multiscale-digital-rock-physics-and-dee.
BibTeX@misc{4ortxyz_a-computationally-efficient-modeling-of-flow-in-complex-porous-media-by-coupling-multiscale-digital-rock-physics-and-dee_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A computationally efficient modeling of flow in complex porous media by coupling multiscale digital rock physics and deep learning: Improving the tradeoff between resolution and field-of-view}}, year = {2026}, url = {https://4ort.xyz/entity/a-computationally-efficient-modeling-of-flow-in-complex-porous-media-by-coupling-multiscale-digital-rock-physics-and-dee}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A computationally efficient modeling of flow in complex porous media by coupling multiscale digital rock physics and deep learning: Improving the tradeoff between resolution and field-of-view — https://4ort.xyz/entity/a-computationally-efficient-modeling-of-flow-in-complex-porous-media-by-coupling-multiscale-digital-rock-physics-and-dee (retrieved 2026-05-24)
