Unknown

Dataset Information

0

Covalent Selenium Embedded in Hierarchical Carbon Nanofibers for Ultra-High Areal Capacity Li-Se Batteries.


ABSTRACT: Lithium selenium (Li-Se) batteries have attracted increasing interest for its high theoretical volumetric capacities up to 3,253 Ah L-1. However, current studies are largely limited to electrodes with rather low mass loading and low areal capacity, resulting in low volumetric performance. Herein, we report a design of covalent selenium embedded in hierarchical nitrogen-doped carbon nanofibers (CSe@HNCNFs) for ultra-high areal capacity Li-Se batteries. The CSe@HNCNFs provide excellent ion and electron transport performance, whereas effectively retard polyselenides diffusion during cycling. We show that the Li-Se battery with mass loading of 1.87 mg cm-2 displays a specific capacity of 762 mAh g-1 after 2,500 cycles, with almost no capacity fading. Furthermore, by increasing the mass loading to 37.31 mg cm-2, ultra-high areal capacities of 7.30 mAh cm-2 is achieved, which greatly exceeds those reported previously for Li-Se batteries.

SUBMITTER: Zhou J 

PROVIDER: S-EPMC7049659 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Covalent Selenium Embedded in Hierarchical Carbon Nanofibers for Ultra-High Areal Capacity Li-Se Batteries.

Zhou Jian J   Chen Maoxin M   Wang Tao T   Li Shengyang S   Zhang Qiusheng Q   Zhang Meng M   Xu Hanjiao H   Liu Jialing J   Liang Junfei J   Zhu Jian J   Duan Xiangfeng X  

iScience 20200217 3


Lithium selenium (Li-Se) batteries have attracted increasing interest for its high theoretical volumetric capacities up to 3,253 Ah L<sup>-1</sup>. However, current studies are largely limited to electrodes with rather low mass loading and low areal capacity, resulting in low volumetric performance. Herein, we report a design of covalent selenium embedded in hierarchical nitrogen-doped carbon nanofibers (CSe@HNCNFs) for ultra-high areal capacity Li-Se batteries. The CSe@HNCNFs provide excellent  ...[more]

Similar Datasets

| S-EPMC6199105 | biostudies-literature
| S-EPMC11291928 | biostudies-literature
| S-EPMC9075030 | biostudies-literature
| S-EPMC10790965 | biostudies-literature
| S-EPMC3511716 | biostudies-literature
| S-EPMC7954221 | biostudies-literature
| S-EPMC8313709 | biostudies-literature
| S-EPMC5644243 | biostudies-literature
| S-EPMC9086314 | biostudies-literature
| S-EPMC6492953 | biostudies-literature