Investigators from University of Oxford Release New Data on Machine Learning (Ir on Content-dependence of Ferropericlase Elastic Properties Across the Spin Cross over From Novel Experiments and Machine Learning)

Robotics & Machine Learning Daily News2024，Issue(Dec.27) ：32-32.

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Investigators from University of Oxford Release New Data on Machine Learning (Ir on Content-dependence of Ferropericlase Elastic Properties Across the Spin Cross over From Novel Experiments and Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reporting originatingfrom Oxford, United Kingdom, by NewsRx correspondents, research stated, “The iron spin crossover in(Mg1-xFe x)O ferropericlase causes changes to its physical properties that are expected t o affect seismicvelocities in Earth’s lower mantle. We present new time-resolve d pressure-volume measurements of ironrichferropericlase (xFe = 0.40, 0.59) an d combine the results with literature data with xFe = 0.04-0.6 toinvestigate th e dependence of ferropericlase elastic properties on iron content.”

Key words

Oxford/United Kingdom/Europe/Cyborgs/Emerging Technologies/Machine Learning/University of Oxford

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2024

Robotics & Machine Learning Daily News

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