
This repository provides a reproducible framework for auditing domain alignment in latent representations learned from heterogeneous materials datasets. The code implements unsupervised latent encoder training, representation-level validation, and quantitative alignment diagnostics independent of predictive accuracy.
Porous Carbon, Latent Space, Representation Learning, Materials Informatics, Unsupervised learning, Domain Alignment, Metal-Organic Frameworks
Porous Carbon, Latent Space, Representation Learning, Materials Informatics, Unsupervised learning, Domain Alignment, Metal-Organic Frameworks
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