Samuel O. Ajayi , Tarekegn H. Dolla , Ludwe L. Sikeyi , Akinshola O. Akinola , Winny K. Maboya , Xinying Liu , Peter R. Makgwane , Mkhulu K. Mathe
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引用次数: 0
Abstract
Metal-organic frameworks (MOFs) are a novel class of porous and crystalline materials utilized as electrode materials in lithium-based batteries. However, their inherent insulating properties result in low electrical charge conductivity, which limits their practical applicability in lithium-based batteries. Therefore, conductive MOFs (c-MOFs), consisting of metal ions coordinated with highly conjugated organic ligands, have recently gained attention owing to their enhanced charge transportation and improved lithium storage. Herein, we discuss the overview of c-MOFs, describe the fundamentals of lithium batteries, and discuss the utilization of c-MOFs as electrodes in lithium batteries. We also give insights on the prospects of c-MOFs, particularly the role of machine learning (ML) and artificial intelligence (AI) in accelerating the design of high-performing c-MOFs for Lithium Batteries (LBs).
期刊介绍:
Materials Today Sustainability is a multi-disciplinary journal covering all aspects of sustainability through materials science.
With a rapidly increasing population with growing demands, materials science has emerged as a critical discipline toward protecting of the environment and ensuring the long term survival of future generations.