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A machine learning model has identified Na[Mn0.36Ni0.44Ti0.15Fe0.05]O2 as the optimum composition to attain the highest energy density for sodium-ion (Na-ion) devices.
From ESS News
Scientists from Japan’s Tokyo University of Science (TUS) and Nagoya Institute of Technology, and from Chalmers University of Technology, in Gothenburg, Sweden, have developed a machine learning method to optimize the energy density of Na-ion batteries.
The research brings Na-ion batteries one step closer to becoming a commercially viable alternative to lithium-ion devices. Lithium-ion currently dominates the battery market but lithium’s relative scarcity, and high price, is a problem for supply chains and project developers alike.
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