Modeling electric response of materials, a million atoms at a time
SMRTR summary
Allegro-pol, a machine learning framework developed by Harvard, predicts materials' responses to electric fields for up to a million atoms with quantum-level accuracy, greatly surpassing current methods and potentially revolutionizing materials design and energy technologies.
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