Cover Feature: Performance Prediction Models with Improved Accuracy and Generalizability for Organic Cathode‐Active Materials of Lithium‐Ion Battery (Batteries & Supercaps 9/2025)
Source abstract
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.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Battery Technologies Research
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Affiliations
Department of Applied Chemistry Faculty of Science and Technology Keio University 3‐14‐1 Hiyoshi, Kohoku‐ku Yokohama 223‐8522 Japan
Faculty of Engineering, Information and Systems University of Tsukuba 1‐1‐1 Tennodai Tsukuba 305‐8573 Japan
Advanced Battery Development Section Advanced HAPS Research Department Advanced Business Division Research Institute of Advanced Technology SoftBank Corp 1‐7‐1 Kaigan, Minato‐ku Tokyo 105‐7529 Japan
References
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