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.

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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
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article

Cover Feature: Performance Prediction Models with Improved Accuracy and Generalizability for Organic Cathode‐Active Materials of Lithium‐Ion Battery (Batteries & Supercaps 9/2025)

Hiroaki Imai, Takaya Saito, Yuya Oaki, T. Sakata et al.
Batteries & Supercaps
Advanced Battery Technologies Research
article

Cover Feature: Performance Prediction Models with Improved Accuracy and Generalizability for Organic Cathode‐Active Materials of Lithium‐Ion Battery (Batteries & Supercaps 9/2025)

Hiroaki Imai, Takaya Saito, Yuya Oaki, T. Sakata, SEIJI YOSHIZAKI, Shuntaro Miyakawa, Yasuhiko Igarashi, Ryoji Yamamoto
article en

Abstract

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.

Batteries & SupercapsVol. 8(9)
University of Tsukuba (JP), Keio University (JP), Advanced Institute of Industrial Technology (JP)
Openalex Percentile: Top 75%
Advanced Battery Technologies Research
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