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https://dspace.iiti.ac.in/handle/123456789/14913
| Title: | Advancing High-Energy Solid-State Batteries with High-Entropy NASICON-type Solid Electrolytes |
| Authors: | Das, Asish Kumar Gami, Pratiksha Vasavan, Hari Narayanan Saxena, Samriddhi Dagar, Neha Kumar, Sunil |
| Keywords: | high entropy;ionic conductivity;lithium-ion;NASICON-type;Solid electrolytes |
| Issue Date: | 2024 |
| Publisher: | American Chemical Society |
| Citation: | Das, A., Roy, D., Das, A., & Pathak, B. (2024). Machine Learning-Enhanced Screening of Single-Atom Alloy Clusters for Nitrogen Reduction Reaction. ACS Applied Materials and Interfaces. Scopus. https://doi.org/10.1021/acsami.4c12184 |
| Abstract: | Herein, we have developed a High-Entropy (∼1.52 R, calculated at M-site) lithium-stuffed NASICON-type solid electrolyte [Li1.3Sn1.7/3Zr1.7/3Ti1.7/3Al0.1Sc0.1Y0.1(PO4)3] with a total (grain + grain-boundary) ionic conductivity of ∼1.42 × 10-4 S cm-1 (highest reported among NASICONs containing Zr-Sn-Ti) and a low activation energy of ∼0.33 eV with a relative density of Conventionally Sintered pellet ∼94%. Symmetric cells with a PVDF-HFP/LiTFSI buffer layer showed stable performance for 500 cycles at 0.2 mA cm-2 without short-circuiting. Full cells with LiFePO4 retained ∼99% capacity after 100 cycles at 1C, while those with NMC811 delivered ∼140 mAh g-1 at C/3. © 2024 American Chemical Society. |
| URI: | https://doi.org/10.1021/acsaem.4c02011 https://dspace.iiti.ac.in/handle/123456789/14913 |
| ISSN: | 2574-0962 |
| Type of Material: | Journal Article |
| Appears in Collections: | Department of Metallurgical Engineering and Materials Sciences |
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