Redox-Driven Lithium Perfusion to Fabricate Li@Ni-Foam Composites for High Lithium-Loading 3D Anodes.
Yong MaYixiang JingYuting GuPengwei QiYuebin LianCheng YangAmir Abdul RazzaqXiaohui ZhaoYang PengXiangqiong ZengJiusheng LiZhao DengPublished in: ACS applied materials & interfaces (2020)
As the hostless nature of the conventional Li anodes with planar surfaces inevitably causes volume expansion and parasitic dendrite growth, it is essential to develop a composite electrode structure with improved Li plating/stripping behaviors to mitigate such issues. Herein, a composite Li@NF anode was successfully fabricated through lithium perfusion into the commercial nickel foam (NF) decorated with lithiophilic NiO nanosheets, demonstrating an exceptionally high areal Li loading of 53.2 mg cm-2 with suppressed Li dendrite formation and volume expansion, improved Coulombic efficiency, as well as extended cycling stability in all half, symmetric, and full cell tests. More importantly, density functional theory calculations and control studies with Fe2O3@NF, pristine NF, and Cu2O@CF reveal a linear correlation between the thermodynamics of the surface reactions and the lithiophilicity of the reaction products, attesting to a redox-driven Li perfusion process. Further, through ex situ scanning electron and in situ optical microscopy, the enhanced performance of Li@NF is mainly attributed to the mediation of Li plating/stripping through homogenizing the Li+ flux, decentralizing local charge density, and accommodating multidirectional Li deposition by the conductive 3D scaffolds. Consequently, this study offers important insights into the driving of thermal Li perfusion through appropriate material and surface design for achieving safe and stable lithium metal anodes.
Keyphrases
- ion batteries
- solid state
- signaling pathway
- density functional theory
- lps induced
- oxidative stress
- reduced graphene oxide
- pi k akt
- nuclear factor
- high resolution
- gene expression
- magnetic resonance imaging
- gold nanoparticles
- stem cells
- cell proliferation
- mass spectrometry
- highly efficient
- computed tomography
- bone marrow
- aqueous solution
- neural network