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Neural nets to simulate molecular motion cast: Machine learning allows quantum mechanics to be efficiently applied to molecular simulations

"This means we can now model materials and molecular dynamics billions of times faster compared to conventional quantum methods, while retaining the same level of accuracy," said Justin Smith, Los Alamos physicist and Metropolis Fellow in the laboratory's Theoretical Division. Understanding how molecules move is critical to tapping their potential

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