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Kolmogorov-Arnold Networks Used for Interpretable Multifidelity Nuclear Reactor Flow Modeling

A new arXiv paper proposes an interpretable multifidelity learning approach using Kolmogorov-Arnold networks to model spatiotemporal nuclear reactor flows, aiming to reduce reliance on computationally expensive CFD simulations.

Read the full story at arXiv cs.LG ↗

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  1. 2026-11-09 05:00 · arXiv cs.LG
    Interpretable Multifidelity Learning with Kolmogorov-Arnold Networks for Spatiotemporal Nuclear Reactor Flow Modeling

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