| Autor: |
Feng Li, Xiaobin Cheng, Lei-Lei Lu, Yi-Chen Yin, Jin-Da Luo, Gongxun Lu, Yu-Feng Meng, Hongsheng Mo, Te Tian, Jing-Tian Yang, Wen Wen, Zhi-Pan Liu, Guozhen Zhang, Cheng Shang, Hong-Bin Yao |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Nano letters. 22(6) |
| ISSN: |
1530-6992 |
| Popis: |
Solid electrolytes (SEs) with superionic conductivity and interfacial stability are highly desirable for stable all-solid-state Li-metal batteries (ASSLMBs). Here, we employ neural network potential to simulate materials composed of Li, Zr/Hf, and Cl using stochastic surface walking method and identify two potential unique layered halide SEs, named Li |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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