首页|Investigators at Federal University Sao Carlos Report Findings in Machine Learning (Machine Learning-assisted Md Simulation of Melting In Superheated Alcu Validates the Classical Nucleation Theory)
Investigators at Federal University Sao Carlos Report Findings in Machine Learning (Machine Learning-assisted Md Simulation of Melting In Superheated Alcu Validates the Classical Nucleation Theory)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are presented in a new report. According to newsreporting from Sao Carlos, Brazil, by NewsRx journalists, research stated, “The validity of the ClassicalNucleation Theory (CNT), the standard tool for describing and predicting nucleation kinetics in metastablesystems, has been under scrutiny for almost a century. While the CNT is commonly employed to describeliquid ->crystal and liquid <- >vapor phase transitions, its application to the crystal ->liquid case has beenlimited because of the experimental challenges in achieving superheating states and detecting homogeneousliquid nucleation.”
Sao CarlosBrazilSouth AmericaCyborgsEmerging TechnologiesMachine LearningFederal University Sao Carlos
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