首页|Report Summarizes Machine Learning Study Findings from National Center for Nucle ar Research (Alloy Informatics Through Ab Initio Charge Density Profiles: Case S tudy of Hydrogen Effects In Facecentred Cubic Crystals)
Report Summarizes Machine Learning Study Findings from National Center for Nucle ar Research (Alloy Informatics Through Ab Initio Charge Density Profiles: Case S tudy of Hydrogen Effects In Facecentred Cubic Crystals)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning is now available. According to news reportingfrom Warsaw, Poland, by NewsRx journalis ts, research stated, “Materials design has traditionally evolvedthrough trial - error approaches, mainly due to the non -local relationship between microstructu res andproperties such as strength and toughness. We propose ‘alloy informatics ’ as a machine learning basedprototype predictive approach for alloys and compo unds, using electron charge density profiles derivedfrom first -principle calcu lations.”
WarsawPolandEuropeCyborgsElement sEmerging TechnologiesGasesHydrogenInorganic ChemicalsMachine LearningNational Center for Nuclear Research
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