Your browser doesn't support javascript.
loading
Untangling Degradation Chemistries of Lithium-Sulfur Batteries Through Interpretable Hybrid Machine Learning.
Liu, Xinyan; Peng, Hong-Jie; Li, Bo-Quan; Chen, Xiang; Li, Zheng; Huang, Jia-Qi; Zhang, Qiang.
Affiliation
  • Liu X; Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, P. R. China.
  • Peng HJ; Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, P. R. China.
  • Li BQ; Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing, 100081, P. R. China.
  • Chen X; Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, P. R. China.
  • Li Z; Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, P. R. China.
  • Huang JQ; Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing, 100081, P. R. China.
  • Zhang Q; Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, P. R. China.
Angew Chem Int Ed Engl ; 61(48): e202214037, 2022 Nov 25.
Article in En | MEDLINE | ID: mdl-36214644
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Angew Chem Int Ed Engl Year: 2022 Document type: Article Country of publication: Alemania
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Angew Chem Int Ed Engl Year: 2022 Document type: Article Country of publication: Alemania