首页|Investigators at University of Leoben Detail Findings in Machine Learning (High- throughput First-principles Calculations and Machine Learning of Grain Boundary Segregation In Metals)
Investigators at University of Leoben Detail Findings in Machine Learning (High- throughput First-principles Calculations and Machine Learning of Grain Boundary Segregation In Metals)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingfrom Leoben, Austria, by NewsRx jour nalists, research stated, “The segregation of solute elements todefects in meta ls plays a fundamental role for microstructure evolution and the material perfor mance.However, the available computational data are scattered and inconsistent due to the use of differentsimulation parameters and methods.”
LeobenAustriaEuropeCyborgsEmergi ng TechnologiesMachine LearningUniversity of Leoben
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