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  1. 421

    Generalized neural closure models with interpretability by Gupta, Abhinav, Lermusiaux, Pierre F. J.

    Published 2024
    “…We augment existing/low-fidelity dynamical models directly in their partial differential equation (PDE) forms with both Markovian and non-Markovian neural network (NN) closure parameterizations. The melding of the existing models with NNs in the continuous spatiotemporal space followed by numerical discretization automatically allows for the desired generalizability. …”
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    Tsewang Norbu NGB by Cantwell, C, Mayer, R

    Published 2025
    “…In some cases, these two types of colophons are melded into one, and occasionally, we may find a colophon which contains other types of information. …”
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