首页|New Machine Learning Data Have Been Reported by Investigators at Iowa State Univ ersity (Flexible Doorway Controlled Na+ Ion Diffusion In Napso Glassy Electrolyt es From Machine-learning Force Field Simulations)
New Machine Learning Data Have Been Reported by Investigators at Iowa State Univ ersity (Flexible Doorway Controlled Na+ Ion Diffusion In Napso Glassy Electrolyt es From Machine-learning Force Field Simulations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsoriginating from Ames, Iowa, by NewsR x correspondents, research stated, “All-solid-state sodium batteries(ASSSBs), f eaturing nonflammable solid-state electrolytes (SSEs) and abundant sodium metal anodes, areattractive candidates for safe, cost-effective grid-scale energy sto rage. Recent research shows that oxygendoping increases the ionic conductivity, mechanical strength, and formability of Na3PS4-xOx (NaPSO)glassy solid-state e lectrolytes (GSEs), offering a promising approach for developing durable, energy -dense,and affordable ASSSBs.”
AmesIowaUnited StatesNorth and Cen tral AmericaChalcogensCyborgsElectrolytesEmerging TechnologiesInorgani c ChemicalsMachine LearningIowa State University
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