Robotics & Machine Learning Daily News2024,Issue(Aug.8) :50-50.

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)

Robotics & Machine Learning Daily News2024,Issue(Aug.8) :50-50.

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)

扫码查看

Abstract

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.”

Key words

Modena/Italy/Europe/Chemicals/Cyborg s/Emerging Technologies/Machine Learning/Minerals/Silicates/Silicic Acid/S odium Silicate

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文