Preprint
Aug 2026
Variational Parameter Calibration with Physics-Aware Latent-Space Surrogates
A physics-aware neural-network-based latent-space framework for reduced-order forward modeling and variational parameter estimation and the robustness of the proposed framework is demonstrated, which generally reduces calibration error and variability compared with the standard surrogate models.
Qiyao Zhou, Xujia Zhu, Pierre Joli et al.
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