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MIT’s ML Framework Predicts Phonon Dispersion 1000x Faster

Roughly 70% of the energy generated worldwide ends up as waste heat, according to some estimates — with the trouble coming from phonons. MIT’s new ML framework can predict phonon dispersion relations up to 1,000x faster than other AI-based techniques w/comparable or even better

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