Surface-informed active learning prediction of thermophysical properties for liquid refractory multicomponent alloy

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This lack of data sharing has reportedly been a bone of contention in trade talks with the US. Google argued that it was unfairly handicapped by the restrictions that allowed local apps like Naver to thrive.

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SSIM was chosen over CNN-based approaches for a deliberate reason: reproducibility without infrastructure. SSIM is a deterministic mathematical function. No training data, no model weights, no GPU, no framework dependencies. Anyone with fontconfig and node-canvas can reproduce these exact numbers on the same platform.