An academic paper by a faculty member of TUS was selected for the 2024 Most Popular Articles and 2025 Lunar New Year Collection in the Journal of Materials Chemistry A, published by the Royal Society of Chemistry.
Corresponding Author
Professor Shinichi Komaba, Department of Applied Chemistry, Faculty of Science Division I
Title of selected paper
Na[Mn0.36Ni0.44Ti0.15Fe0.05]O2 predicted via machine learning for high energy Na-ion batteries
Content
Professor Komaba and his research group developed sodium-ion battery material that shows superior battery performance by training a machine learning (ML) model using past experimental data.
This academic paper was selected for the 2024 Most Popular Articles and the 2025 Lunar New Year Collection in the Journal of Materials Chemistry A, published by the Royal Society of Chemistry.
Date of award
January 10, 2025
Related Links
2024 Most Popular Articles
2025 Lunar New Year collection

Journal of Materials Chemistry A

University press release
Leveraging Machine Learning to Find Promising Compositions for Sodium-Ion Batteries (2024.11.5)