Metal-Organic Framework Glass Anode with an Exceptional Cycling-Induced Capacity Enhancement for Lithium-Ion Batteries.
Chengwei GaoZhenjing JiangShibin QiPeixing WangLars Rosgaard JensenMorten JohansenChristian Kolle ChristensenYanfei ZhangDorthe Bomholdt RavnsbaekYuanzheng YuePublished in: Advanced materials (Deerfield Beach, Fla.) (2022)
Metal-organic frameworks (MOFs) hold great promise as high-energy anode materials for next-generation lithium-ion batteries (LIBs) due to their tunable chemistry, pore structure and abundant reaction sites. However, the pore structure of crystalline MOFs tends to collapse during lithium-ion insertion and extraction, and hence, their electrochemical performances are rather limited. As a critical breakthrough, a MOF glass anode for LIBs has been developed in the present work. In detail, it is fabricated by melt-quenching Cobalt-ZIF-62 (Co(Im) 1.75 (bIm) 0.25 ) to glass, and then by combining glass with carbon black and binder. The derived anode exhibits high lithium storage capacity (306 mAh g -1 after 1000 cycles at of 2 A g -1 ), outstanding cycling stability, and superior rate performance compared with the crystalline Cobalt-ZIF-62 and the amorphous one prepared by high-energy ball-milling. Importantly, it is found that the Li-ion storage capacity of the MOF glass anode continuously rises with charge-discharge cycling and even tripled after 1000 cycles. Combined spectroscopic and structural analyses, along with density functional theory calculations, reveal the origin of the cycling-induced enhancement of the performances of the MOF glass anode, that is, the increased distortion and local breakage of the CoN coordination bonds making the Li-ion intercalation sites more accessible.
Keyphrases
- metal organic framework
- ion batteries
- density functional theory
- reduced graphene oxide
- high intensity
- molecular dynamics
- high glucose
- room temperature
- diabetic rats
- solid state
- genome wide
- gene expression
- drug induced
- endothelial cells
- machine learning
- molecular dynamics simulations
- mass spectrometry
- big data
- tandem mass spectrometry