Ontology highlight
ABSTRACT:
SUBMITTER: Min K
PROVIDER: S-EPMC6202356 | biostudies-literature | 2018 Oct
REPOSITORIES: biostudies-literature
Min Kyoungmin K Choi Byungjin B Park Kwangjin K Cho Eunseog E
Scientific reports 20181025 1
Optimizing synthesis parameters is the key to successfully design ideal Ni-rich cathode materials that satisfy principal electrochemical specifications. We herein implement machine learning algorithms using 330 experimental datasets, obtained from a controlled environment for reliability, to construct a predictive model. First, correlation values showed that the calcination temperature and the size of the particles are determining factors for achieving a long cycle life. Then, we compared the ac ...[more]