首页|University of Milano Bicocca Reports Findings in Machine Learning (Development o f a machine learning interatomic potential for exploring pressure-dependent kine tics of phase transitions in germanium)
University of Milano Bicocca Reports Findings in Machine Learning (Development o f a machine learning interatomic potential for exploring pressure-dependent kine tics of phase transitions in germanium)
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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 from Milano, Ital y, by NewsRx correspondents, research stated, “We introduce a datadrivenpotent ial aimed at the investigation of pressure-dependent phase transitions in bulk g ermanium,including the estimate of kinetic barriers. This is achieved by suitab ly building a database includingseveral configurations along minimum energy pat hs, as computed using the solid-state nudged elasticband method.”
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