arXiv AI July 28, 2026 By Harish Ramachandran, Bj\"orn Kimpel, Thomas Paula, Josef Winter, Steffen Schmidt, Nikolaus Adams

Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows

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arXiv:2607. 22280v2 Announce Type: replace-cross Abstract: Compressible multiphase flows involving shocks and material interfaces arise in applications such as bubble collapse and droplet breakup, where strong nonlinear interactions produce complex interface deformation, mixing, and multiscale dynamics.

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

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Flowers: A Warp Drive for Neural PDE Solvers

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Operator Boosting Produces Pareto-Efficient PDE Surrogates

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