Unknown

Dataset Information

0

Visualization of electrochemically driven solid-state phase transformations using operando hard X-ray spectro-imaging.


ABSTRACT: In situ techniques with high temporal, spatial and chemical resolution are key to understand ubiquitous solid-state phase transformations, which are crucial to many technological applications. Hard X-ray spectro-imaging can visualize electrochemically driven phase transformations but demands considerably large samples with strong absorption signal so far. Here we show a conceptually new data analysis method to enable operando visualization of mechanistically relevant weakly absorbing samples at the nanoscale and study electrochemical reaction dynamics of iron fluoride, a promising high-capacity conversion cathode material. In two specially designed samples with distinctive microstructure and porosity, we observe homogeneous phase transformations during both discharge and charge, faster and more complete Li-storage occurring in porous polycrystalline iron fluoride, and further, incomplete charge reaction following a pathway different from conventional belief. These mechanistic insights provide guidelines for designing better conversion cathode materials to realize the promise of high-capacity lithium-ion batteries.

SUBMITTER: Li L 

PROVIDER: S-EPMC4411298 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

Visualization of electrochemically driven solid-state phase transformations using operando hard X-ray spectro-imaging.

Li Linsen L   Chen-Wiegart Yu-chen Karen YC   Wang Jiajun J   Gao Peng P   Ding Qi Q   Yu Young-Sang YS   Wang Feng F   Cabana Jordi J   Wang Jun J   Jin Song S  

Nature communications 20150420


In situ techniques with high temporal, spatial and chemical resolution are key to understand ubiquitous solid-state phase transformations, which are crucial to many technological applications. Hard X-ray spectro-imaging can visualize electrochemically driven phase transformations but demands considerably large samples with strong absorption signal so far. Here we show a conceptually new data analysis method to enable operando visualization of mechanistically relevant weakly absorbing samples at  ...[more]

Similar Datasets

| S-EPMC4819537 | biostudies-literature
| S-EPMC8415335 | biostudies-literature
| S-EPMC6461690 | biostudies-literature
| S-EPMC5923567 | biostudies-literature
| S-EPMC5993470 | biostudies-literature
| S-EPMC4915224 | biostudies-literature
| S-EPMC6478822 | biostudies-literature
| S-EPMC8008446 | biostudies-literature
| S-EPMC6021442 | biostudies-literature
| S-EPMC9814885 | biostudies-literature