首页|Study Results from East China Normal University Update Understanding of Machine Learning (Machine Learning-accelerated Discovery and Design of Electrode Materia ls and Electrolytes for Lithium Ion Batteries)
Study Results from East China Normal University Update Understanding of Machine Learning (Machine Learning-accelerated Discovery and Design of Electrode Materia ls and Electrolytes for Lithium Ion Batteries)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news originating from Shanghai, Peop le’s Republic of China, by NewsRx correspondents, research stated, “With the dev elopment of artificial intelligence and the intersection of machine learning (ML ) and materials science, the reclamation of ML technology in the realm of lithiu m ion batteries (LIBs) has inspired more promising battery development approache s, especially in battery material design, performance prediction, and structural optimization. Data-driven ML approach displays the advantage of quickly capturi ng the complex structure-activity-process-performance relationship, and is promi sing to offer a new paradigm for the burgeoning of battery materials.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningEast China Normal Universi ty
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