Interpretable multifidelity learning with Kolmogorov-Arnold networks for spatiotemporal nuclear reactor flow modeling
Read the original at arxiv.org→arXiv:2611.08512v1 Announce Type: new Abstract: High-fidelity computational fluid dynamics (CFD) simulations of nuclear reactor systems are computationally expensive, motivating machine learning methods that reduce...
Original headline: "Interpretable Multifidelity Learning with Kolmogorov-Arnold Networks for Spatiotemporal Nuclear Reactor Flow Modeling"
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- Nov 9, 05:00 UTC arXiv cs.LG lead source Interpretable Multifidelity Learning with Kolmogorov-Arnold Networks for Spatiotemporal Nuclear Reactor Flow Modeling