Unveiling the potential of 2D oxocarbon anodes for lithium-ion batteries: a computational exploration of 2D-C\(_6\)O\(_6\) and Kagome-C\(_6\)O\(_6\)
摘要
Graphene and reduced graphene oxide (rGO) are commonly used as anode materials in lithium-ion batteries, but their performance is limited by irregular oxygen groups and poor crystalline order. To address this, we employed an evolutionary algorithm to predict two novel 2D oxocarbon structures: 2D-C