Predicting the capacitance of carbon-based electric double layer capacitors by machine learning-Reference-Cited by-同舟云学术

Predicting the capacitance of carbon-based electric double layer capacitors by machine learning

Author:

Su Haiping¹²³⁴⁵^ORCID,Lin Sen⁶⁴⁵⁷,Deng Shengwei⁸⁹¹⁰⁷^ORCID,Lian Cheng¹²³⁴⁵^ORCID,Shang Yazhuo¹²³⁴⁵^ORCID,Liu Honglai¹²³⁴⁵^ORCID

Affiliation:

1. State Key Laboratory of Chemical Engineering

2. Shanghai Engineering Research Center of Hierarchical Nanomaterials

3. School of Chemistry and Molecular Engineering

4. East China University of Science and Technology

5. Shanghai 200237

6. National Engineering Research Center for Integrated Utilization of Salt Lake Resources

7. China

8. College of Chemical Engineering

9. Zhejiang University of Technology

10. Hangzhou 310014

Abstract

Machine learning (ML) methods were applied to predict the capacitance of carbon-based supercapacitors.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Materials Science,General Chemistry,Atomic and Molecular Physics, and Optics,Bioengineering

Link

Reference27 articles.

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