Scalable machine learning models for predicting quantum transport in disordered 2D hexagonal materials

· · 来源:dev资讯

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.

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