4.8 Article

A Scalable Approach to Dendrite-Free Lithium Anodes via Spontaneous Reduction of Spray-Coated Graphene Oxide Layers

Journal

ADVANCED MATERIALS
Volume 30, Issue 29, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.201801213

Keywords

alkali metals; dendrites; graphene oxide; Li-metal batteries; spraying

Funding

  1. National Natural Science Foundation of China [51674202, 51402236, 51521061, 51720105014]
  2. Fundamental Research Funds for the Central Universities [G2016KY0307]
  3. Key RAMP
  4. D Program of Shaanxi [2017ZDCXL-GY-08-03]
  5. TOP International University Visiting Program for Outstanding Young Scholars of Northwestern Polytechnical University

Ask authors/readers for more resources

Li-metal batteries (LiMBs) are experiencing a renaissance; however, achieving scalable production of dendrite-free Li anodes for practical application is still a formidable challenge. Herein, a facile and universal method is developed to directly reduce graphene oxide (GO) using alkali metals (e.g., Li, Na, and K) in moderate conditions. Based on this innovation, a spontaneously reduced graphene coating can be designed and modulated on a Li surface (SR-G-Li). The symmetrical SR-G-Li|SR-G-Li cell can run up to 1000 cycles at a high practical current density of 5 mA cm(-2) without a short circuit, demonstrating one of the longest lifespans reported with LiPF6-based carbonate electrolytes. More significantly, a practically scalable paradigm is established to fabricate dendrite-free Li anodes by spraying a GO layer on the Li anode surface for large-scale production of LiFePO4/Li pouch cells, reflected by the continuous manufacturing of the SR-G-Li anodes based on the roll-to-roll technology. The strategy provides new commercial opportunities to both LiMBs and graphene.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available