首页|Xi’an Jiaotong University Reports Findings in Machine Learning (Probing Particle -Carbon/Binder Degradation Behavior in Fatigued Layered Cathode Materials throug h Machine Learning Aided Diffraction Tomography)
Xi’an Jiaotong University Reports Findings in Machine Learning (Probing Particle -Carbon/Binder Degradation Behavior in Fatigued Layered Cathode Materials throug h Machine Learning Aided Diffraction Tomography)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Shaanxi, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Understanding ho w reaction heterogeneity impacts cathode materials during Li-ion battery (LIB) e lectrochemical cycling is pivotal for unraveling their electrochemical performan ce. Yet, experimentally verifying these reactions has proven to be a challenge.” Financial support for this research came from National Natural Science Foundatio n of China.
ShaanxiPeople’s Republic of ChinaAsi aChemicalsCyborgsElectrochemicalsEmerging TechnologiesMachine Learning
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