首页|University of Modena and Reggio Emilia Reports Findings in Machine Learning (Acc elerating NMR Shielding Calculations Through Machine Learning Methods: Applicati on to Magnesium Sodium Silicate Glasses)
University of Modena and Reggio Emilia Reports Findings in Machine Learning (Acc elerating NMR Shielding Calculations Through Machine Learning Methods: Applicati on to Magnesium Sodium Silicate Glasses)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting out of Modena, Italy, by News Rx editors, research stated, “In this work, we have applied theKernel Ridge Reg ression (KRR) method using a Least Square Support Vector Regression (LSSVR) approach for the prediction of the NMR isotropic magnetic shielding (siso) of active nuclei (17O, 23Na, 25Mg,and 29Si) in a series of (Mg, Na) - silicate glasses. The Machine Learning (ML) algorithm has beentrained by mapping the local enviro nment of each atom described by the Smooth Overlap of AtomicPosition (SOAP) des criptor with isotropic chemical shielding values computed with DFT using the Gauge-Included-Projector-Augmented-Wave (GIPAW) approach.”
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