Abstract
Investigators publish new report on Machine Learning. According to news reporting from Ames, Iowa, by NewsRx journalists, research stated, “Pursuit of superconductivity in light-element systems at ambient pressure is of great experimental and theoretical interest. In this work, we combine a machine learning (ML) method with first-principles calculations to efficiently search for the energetically favorable ternary Ca-B-C compounds.” Funders for this research include National Natural Science Foundation of China (NSFC), United States Department of Energy (DOE), Iowa State University. The news correspondents obtained a quote from the research from Iowa State University, “Three layered borocarbides (stable CaBC5 and metastable Ca2BC11 and CaB3C3) are predicted to be phonon-mediated superconductors at ambient pressure. The stable CaBC5 and the low-energy metastable Ca2BC11 (with formation energy only 9.5 meV/atom above the convex hull) have a superconducting T-c of 5.2 and 8.9 K, respectively. While the hexagonal CaB3C3 possesses a Tc of 26.1 K, it is metastable with formation energy of 153 meV/atom above the convex hull.”
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