Data and trained model for spinodal-cvae
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The pipeline reduces two-point-statistics fields to principal-component (PC) scores via PCA, then trains a conditional variational autoencoder (cVAE) on those scores conditioned on the 18 physical simulation parameters, enabling conditional generation, reconstruction, and latent-space analysis of microstructural statistics.
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Zenodo创建时间：
2026-07-16
