首页|Researchers from Xiamen University Describe Findings in Machine Learning (Visual izing the Sei Formation Between Lithium Metal and Solid-state Electrolyte)
Researchers from Xiamen University Describe Findings in Machine Learning (Visual izing the Sei Formation Between Lithium Metal and Solid-state Electrolyte)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Data detailed on Machine Learning have been prese nted. According to news reporting from Xiamen, People's Republic of China, by Ne wsRx journalists, research stated, “The solid electrolyte interphase (SEI) is re garded as the most important factor affecting the durability of lithium-metal an ode in all-solid-state batteries (ASSBs). Despite its significance, the nucleati on and growth mechanism of SEI is not yet well understood.”
XiamenPeople's Republic of ChinaAsiaCyborgsElectrolytesEmerging TechnologiesInorganic ChemicalsMachine Lea rningMolecular DynamicsPhysicsXiamen University
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