首页|Investigators from Peking University Have Reported New Data on Machine Learning (Machine Learning Based Nonlocal Kinetic Energy Density Functional for Simple Me tals and Alloys)
Investigators from Peking University Have Reported New Data on Machine Learning (Machine Learning Based Nonlocal Kinetic Energy Density Functional for Simple Me tals and Alloys)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in Beijing, Peo ple’s Republic of China, by NewsRx journalists, research stated, “Developing an accurate kinetic energy density functional (KEDF) remains a major hurdle in orbi tal -free density functional theory. We propose a machine -learning -based physi cal -constrained nonlocal (MPN) KEDF and implement it with the usage of the bulk -derived local pseudopotentials and plane wave basis sets in the ABACUS package .”
BeijingPeople's Republic of ChinaAsi aAlloysCyborgsEmerging TechnologiesMachine LearningPeking University
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