Data-driven design and experimental validation of high-precision Ni–Co bimetallic compound-based pseudocapacitor models
A bidirectional database for Ni–Co supercapacitors was built using literature-derived descriptors. ML models (MLP) were developed and experimentally validated, confirming predictive accuracy and offering a scalable data-driven design framework.
Authors
- Xiao Yang (ORCID: https://orcid.org/0000-0002-2624-9934)
- Zhuo Zhao (ORCID: https://orcid.org/0000-0003-1530-6750)
- Yongzhi Lan
- Li Zhang (ORCID: https://orcid.org/0000-0002-3435-2237)
- Rui Cao (ORCID: https://orcid.org/0000-0001-5506-4464)
- T Dang (ORCID: https://orcid.org/0009-0009-9621-5615)
Institutions
- Lanzhou University of Technology (CN)
Publication Details
- Journal
- Journal of Materials Chemistry A
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5ta03175c
- Citations
- 3
- Primary Topic
- Supercapacitor Materials and Fabrication
- Type
- article
- Field-Weighted Citation Impact
- 1.28
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Gansu Province