Search Results - "Phan, Nhon N."

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  1. 1

    Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter by Villarreal, Ruben, Vlassis, Nikolaos N., Phan, Nhon N., Catanach, Tommie A., Jones, Reese E., Trask, Nathaniel A., Kramer, Sharlotte L. B., Sun, WaiChing

    Published in Computational mechanics (01-07-2023)
    “…Experimental data are often costly to obtain, which makes it difficult to calibrate complex models. For many models an experimental design that produces the…”
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    Journal Article
  2. 2

    Perturbing the ground state of Dirac stars by Daka, Emanuel, Phan, Nhon N, Kain, Ben

    Published 21-10-2019
    “…Dirac stars are self-gravitating configurations of spin-1/2 fermions in which the fermions are described by the Dirac equation. After a detailed review of the…”
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    Journal Article
  3. 3

    Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter by Villarreal, Ruben, Vlassis, Nikolaos N, Phan, Nhon N, Catanach, Tommie A, Jones, Reese E, Trask, Nathaniel A, Kramer, Sharlotte L. B, Sun, WaiChing

    Published 26-09-2022
    “…Experimental data is costly to obtain, which makes it difficult to calibrate complex models. For many models an experimental design that produces the best…”
    Get full text
    Journal Article