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arXiv Machine Learning By V. S. Maduri, K. B. Nakshatrala

A Machine Learning-Enhanced Hopf-Cole Formulation for Nonlinear Gas Flow in Porous Media

Read the original on arXiv Machine Learning →

arXiv:2603. 11250v2 Announce Type: replace-cross Abstract: Accurate modeling of gas flow through porous media is critical for many technological applications, including reservoir performance prediction, carbon capture and sequestration, and fuel cells and batteries.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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