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查看完整版本 : Sifting Through Multisource Data for Safer Battery Materials with Machine Learning


labfans
2019-10-31, 18:04
Stanford researchers analyzed more than 12,000 solid electrolytes and trained a machine learning model that is three to five times more likely than a scientist to identify a promising new material.

2018-10-10 08:00 AM


更多... ( https://www.mathworks.com/company/newsletters/articles/sifting-through-multi-source-data-for-safer-battery-materials-with-machine-learning.html )