首页|New Findings on Machine Learning from Washington University St. Louis Summarized (Structure-driven Prediction of Magnetic Order In Uranium Compounds)
New Findings on Machine Learning from Washington University St. Louis Summarized (Structure-driven Prediction of Magnetic Order In Uranium Compounds)
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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 reportingoriginating in St. Louis, Missouri, by N ewsRx journalists, research stated, “The advancement of machinelearning technol ogies has revolutionized the search and optimization of material properties. The se algorithmsoften rely on theoretical calculations, such as density functional theory (DFT), for data inputsand validation, which are not always effective fo r uranium-based materials due to their strong electroncorrelations.”
St. LouisMissouriUnited StatesNort h and Central AmericaActinoid Series ElementsCyborgsEmerging TechnologiesInorganic ChemicalsMachine LearningUraniumUranium CompoundsWashington U niversity St. Louis