Scaling the predictions of multiphase flow through porous media using operator learning

Research article (Chemical Engineering Journal, 2024) · cited 12× · AI/ML
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Scaling the predictions of multiphase flow through porous media using operator learning

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Scaling the predictions of multiphase flow through porous media using operator learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Scaling the predictions of multiphase flow through porous media using operator learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/scaling-the-predictions-of-multiphase-flow-through-porous-media-using-operator-learning
MLA “Scaling the predictions of multiphase flow through porous media using operator learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/scaling-the-predictions-of-multiphase-flow-through-porous-media-using-operator-learning.
BibTeX @misc{4ortxyz_scaling-the-predictions-of-multiphase-flow-through-porous-media-using-operator-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Scaling the predictions of multiphase flow through porous media using operator learning}}, year = {2026}, url = {https://4ort.xyz/entity/scaling-the-predictions-of-multiphase-flow-through-porous-media-using-operator-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Scaling the predictions of multiphase flow through porous media using operator learning — https://4ort.xyz/entity/scaling-the-predictions-of-multiphase-flow-through-porous-media-using-operator-learning (retrieved 2026-05-24)

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