首页|Studies from Iowa State University Reveal New Findings on Machine Learning (Machine Learning Guided Discovery of Superconducting Calcium Borocarbides)
Studies from Iowa State University Reveal New Findings on Machine Learning (Machine Learning Guided Discovery of Superconducting Calcium Borocarbides)
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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.”
AmesIowaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningIowa State University
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