首页|Harbin Institute of Technology Details Findings in Machine Learning (Diffusive Migration Behavior of Single Atoms In Aluminum Alloy Substrates: Explaining Machine-learning-accelerated First Principles Calculations)
Harbin Institute of Technology Details Findings in Machine Learning (Diffusive Migration Behavior of Single Atoms In Aluminum Alloy Substrates: Explaining Machine-learning-accelerated First Principles Calculations)
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NETL
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Science Press
Investigators discuss new findings in Machine Learning. According to news reporting originating from Harbin, People's Republic of China, by NewsRx correspondents, research stated, "In this paper, we investigated the diffusion migration behavior of single atoms in an aluminum matrix using a machine-learning (ML)-accelerated first-principles calculation method. Initially, we used density functional theory to investigate the diffusion migration behavior of 30 individual atoms within the aluminum matrix." Financial support for this research came from Science Foundation of National Key Laboratory of Science and Technology on Advanced Composites in Special Environments.
HarbinPeople's Republic of ChinaAsiaAluminumCyborgsEmerging TechnologiesLight MetalsMachine LearningHarbin Institute of Technology
NETL
NSTL
Science Press
