Cover Feature: Performance Prediction Models with Improved Accuracy and Generalizability for Organic Cathode‐Active Materials of Lithium‐Ion Battery (Batteries & Supercaps 9/2025)
Organic cathode-active materials with higher redox potential and specific capacity are significant in achieving higher energy density. However, the exploration of new active materials, including their design and synthesis, based on professional experience comes up against limitations. The work detailed in the Research Article by Y. Oaki and co-workers (DOI: 10.1002/batt.202500288) presents new performance prediction models for these materials, such as for their potential and capacity. The predictors enable the accelerated discovery of new high-performance organic cathode-active materials, such as those used in electric vehicles, drones, and high-altitude platform stations.
Authors
- Hiroaki Imai (ORCID: https://orcid.org/0000-0001-6332-9514)
- Takaya Saito
- Yuya Oaki
- T. Sakata (ORCID: https://orcid.org/0000-0003-3435-3974)
- SEIJI YOSHIZAKI
- Shuntaro Miyakawa
- Yasuhiko Igarashi (ORCID: https://orcid.org/0000-0003-1042-6657)
- Ryoji Yamamoto
Institutions
- University of Tsukuba (JP)
- Keio University (JP)
- Advanced Institute of Industrial Technology (JP)
Publication Details
- Journal
- Batteries & Supercaps
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1002/batt.70093
- Primary Topic
- Advanced Battery Technologies Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00