首页|University of British Columbia Reports Findings in Machine Learning (Using machi ne learning with atomistic surface and local water features to predict heterogen eous ice nucleation)
University of British Columbia Reports Findings in Machine Learning (Using machi ne learning with atomistic surface and local water features to predict heterogen eous ice nucleation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Vancouver, Can ada, by NewsRx journalists, research stated, “Heterogeneous icenucleation (HIN) has applications in climate science, nanotechnology, and cryopreservation. Ice nucleationon the earth’s surface or in the atmosphere usually occurs heterogene ously involving foreign substrates,known as ice nucleating particles (INPs).”
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