Machine learning unravels quantum atomic vibrations in materials
SMRTR summary
The Caltech-developed AI method using tensor decomposition accelerates quantum calculations of atomic vibrations in materials by up to 10,000 times, completing complex phonon interactions in seconds while maintaining accuracy.
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