Computational discovery of cathode materials for rechargeable aqueous zinc-ion batteries
Abstract
Dataset for the manuscript entitled "Computational discovery of cathode materials for rechargeable aqueous zinc-ion batteries" authored by Caio M. Miliante, Brian D. Adams, Drew Higgins, and Oleg Rubel, available as a preprint on arXiv (http://arxiv.org/abs/2602.10236).
Fields of Study & Subjects
Advanced battery technologies research
Machine Learning in Materials Science
Advancements in Battery Materials
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 February 2026
- Language
- EN
- Document type
- Dataset