首页|Institute Jean Lamour Reports Findings in Machine Learning [H ydrogen, Oxygen, and Lead Adsorbates on Al13Co4(100): Accurate Potential Energy Surfaces at Low Computational Cost by Machine Learning and DFT-Based Data]
Institute Jean Lamour Reports Findings in Machine Learning [H ydrogen, Oxygen, and Lead Adsorbates on Al13Co4(100): Accurate Potential Energy Surfaces at Low Computational Cost by Machine Learning and DFT-Based Data]
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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 newsoriginating from Nancy, France, by News Rx correspondents, research stated, “Intermetallic compounds arepromising mater ials in numerous fields, especially those involving surface interactions, such a s catalysis.A key factor to investigate their surface properties lies in adsorp tion energy maps, typically built usingfirst-principles approaches.”
NancyFranceEuropeChalcogensCybor gsElementsEmerging TechnologiesGasesHydrogenInorganic ChemicalsMachi ne Learning
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