首页|New Findings on Machine Learning Described by Investigators at University of Lor raine (Machine Learning Force Field Beyond the Limits of Classical and First-pri nciples Molecular Dynamics Simulations: the Case of Kaolinite Hydration)
New Findings on Machine Learning Described by Investigators at University of Lor raine (Machine Learning Force Field Beyond the Limits of Classical and First-pri nciples Molecular Dynamics Simulations: the Case of Kaolinite Hydration)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Research findings on Machine Learning are discuss ed in a new report. According to news reporting originating from Metz, France, b y NewsRx correspondents, research stated, “The understanding of theinteraction between mineral surfaces and water holds great significance in unraveling the ph ysical chemistryof surfaces in beneficiation processes. Within this study, we e mploy theoretical simulations to explore theadsorption mechanism of water molec ules on the kaolinite surface, a clay mineral commonly found in ironores.”
MetzFranceEuropeCyborgsEmerging TechnologiesMachine LearningMolecular DynamicsPhysicsUniversity of Lorra ine
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