首页|New Machine Learning Findings Reported from University of PicardieJules Verne (Toward High-performance Energy and Power Battery Cells With Machine Learning-based Optimization of Electrode Manufacturing)
New Machine Learning Findings Reported from University of PicardieJules Verne (Toward High-performance Energy and Power Battery Cells With Machine Learning-based Optimization of Electrode Manufacturing)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating from Amiens, France, by NewsRx correspondents, research stated, “The optimization of theelectrode manufacturing process is important for upscaling the application of Lithium -Ion Batteries (LIBs)to cater for growing energy demand. LIB manufacturing is important to be optimized because it determinesthe practical performance of the cells when the latter are being used in applications such as electric vehicles.”Financial supporters for this research include European Research Council (ERC), ALISTORE EuropeanResearch Institute, Institut Universitaire de France.
AmiensFranceEuropeChemicalsCyborgsElectrochemicalsEmerging TechnologiesMachine LearningUniversity of Picardie Jules Verne
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