首页|Findings from Technical University Darmstadt (TU Darmstadt) Provide New Insights into Machine Learning (Unraveling impacts of polycrystalline microstructures on ionic conductivity of ceramic electrolytes by computational homogenization and ...)
Findings from Technical University Darmstadt (TU Darmstadt) Provide New Insights into Machine Learning (Unraveling impacts of polycrystalline microstructures on ionic conductivity of ceramic electrolytes by computational homogenization and ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting out of Darmstadt, German y, by NewsRx editors, research stated, “The ionic conductivity at the grain boun daries (GBs) in oxide ceramics is typically several orders of magnitude lower th an that within the grain interior. This detrimental GB effect is the main bottle neck for designing high-performance ceramic electrolytes intended for use in sol id-state lithium-ion batteries, fuel cells, and electrolyzer cells.”
Technical University Darmstadt (TU Darms tadt)DarmstadtGermanyEuropeCyborgsElectrolytesEmerging TechnologiesInorganic ChemicalsMachine Learning
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