Machine learning prediction of the reversible capacities of a biomass-derived hard carbon anode for sodium-ion batteries
This work utilized machine learning (ML) modeling to predict and validate the reversible capacities of a biomass-derived hard carbon anode – a means to enhance the development of anodes for sustainable sodium-ion batteries.
Authors
- Stephen Yaw Owusu (ORCID: https://orcid.org/0000-0002-5251-4287)
Institutions
- Missouri University of Science and Technology (US)
Publication Details
- Journal
- RSC Sustainability
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5su00360a
- Citations
- 6
- Primary Topic
- Advancements in Battery Materials
- Type
- article
- Field-Weighted Citation Impact
- 4.38