Co-free and low strain cathode materials for sodium-ion batteries: Machine learning-based materials discovery
Author:
Funder
National Research Foundation of Korea
Institute for Information Communication Technology Planning and Evaluation
Publisher
Elsevier BV
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1. A complete and effective target-based data-driven flow screening for reliable cathode materials for aluminum-ion batteries;Applied Energy;2024-12
2. Confluence of electronic structure calculations (DFT) and machine learning (ML) for lithium and sodium-ion batteries: a theoretical perspective;Engineering Research Express;2024-08-30
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