首页|Data from Jiangsu University Advance Knowledge in Machine Learning (A highly ductile carbon material made of triangle rings: A study of machine learning)
Data from Jiangsu University Advance Knowledge in Machine Learning (A highly ductile carbon material made of triangle rings: A study of machine learning)
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Investigators publish new report on artificial intelligence. According to news originating from Jiangsu, People’s Republic of China, by NewsRx correspondents, research stated, “Carbon materials exhibit diverse mechanical properties, from hard diamond to soft graphite. However, carbon materials with high ductility are rare, because of strong covalent bonds between carbon atoms.” Financial supporters for this research include National Natural Science Foundation of China. Our news journalists obtained a quote from the research from Jiangsu University: “Here, we propose that the structures of triangular lattice have higher ductility than those of hexagonal or quadrangle lattice. A two-dimensional (2D) carbon network, named a carbon Kagome lattice (CKL), is used as an example to verify the point. The carbon structure has a Kagome lattice similar to the triangular lattice. Because empirical potentials cannot well simulate mechanical properties of carbon structures with triangular carbon rings, we work out a neuroevolution potential (NEP) based on a machine learning method. Structural evolution and phase transition under strain have been studied based on the NEP. The results indicate that the ductility of 2D CKL can approach 80%, and even at a high temperature, the ductility can reach 48%. The ductile values are the highest in all 2D crystal materials except the molecular materials.”
Jiangsu UniversityJiangsuPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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