首页|Studies from Center for High Pressure Science and Technology Advanced Research U pdate Current Data on Machine Learning (Kinetic and Thermodynamic Transition Pat hways of Silica By Machine Learning: Implication for Meteorite Impacts)
Studies from Center for High Pressure Science and Technology Advanced Research U pdate Current Data on Machine Learning (Kinetic and Thermodynamic Transition Pat hways of Silica By Machine Learning: Implication for Meteorite Impacts)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating in Beijing, Peo ple’s Republic of China, by NewsRx journalists, research stated, “Rocksfalling to Earth from space may generate pressure and temperature approaching Earth’s de ep mantle, butsuch meteorite impact only persists for a very short period. Unde r these extreme conditions, kineticalfactors largely control mineral phase tran sitions, in which the resultant phase may deviate from those atthermal equilibr ium.”
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningCenter for High Pressure Science and Technology Advanced Research
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