首页|Shanghai Jiao Tong University Reports Findings in Machine Learning (Machine lear ning-based design of electrocatalytic materials towards high-energy lithium||sul fur batteries development)
Shanghai Jiao Tong University Reports Findings in Machine Learning (Machine lear ning-based design of electrocatalytic materials towards high-energy lithium||sul fur batteries development)
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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 Shanghai, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Thepractical develo pment of Li | |S batteries is hindered by the slow kinetics of polysulfides conv ersionreactions during cycling. To circumvent this limitation, researchers sugg ested the use of transition metalbasedelectrocatalytic materials in the sulfur -based positive electrode.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine Learning
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