CGMM Parameters for Uncertainty Quantification from Physics-assisted data-driven stochastic reduced-order models for attribution of heterogeneous stress distributions in low-grain polycrystals
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This file contains the parameters of the conditional Gaussian mixture model (CGMM) used for uncertainty quantification in different cases, including: mixture weights, mean vectors, and covariance matrices for bi-crystal, quad-crystal and octu-crystal configurations.
创建时间：
2025-02-19
