首页|University of Paris Saclay Reports Findings in Machine Learning (First-principle s NMR of oxide glasses boosted by machine learning)
University of Paris Saclay Reports Findings in Machine Learning (First-principle s NMR of oxide glasses boosted by machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Gif sur Yvet te, France, by NewsRx editors, the research stated, “Solid-state NMR has establi shed itself as a cutting-edge spectroscopy for elucidating the structure of oxid e glasses thanks to several decades of methodological and instrumental progress. First-principles calculations of NMR properties combined with molecular-dynamic s (MD) simulations provides a powerful complementary approach for the interpreta tion of NMR data, although they still suffer from limitations in terms of size, time and high consumption of computational resources.”
Gif sur YvetteFranceEuropeCyborgsEmerging TechnologiesMachine Learning
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