five

Molecular Modeling Workflow for Optimizing Oxidized Graphene Quantum Dot and Epoxy Nanocomposite for Enhanced Mechanical Properties

收藏
Mendeley Data2026-04-18 收录
下载链接:
https://data.mendeley.com/datasets/nvrkj7cygx
下载链接
链接失效反馈
官方服务:
资源简介:
Graphene quantum dots (GQDs) are the smallest carbon-based filler known to promote more intimate contact with the matrix. Their small size enables simultaneous enhancement of stiffness, strength, and toughness. Additionally, the functionalization of these materials enables other supramolecular interactions like hydrogen bonding that improve the interfacial interaction with the matrix. This dataset provides a molecular dynamics (MD) framework to model a functionalized GQD embedded in a bisphenol-F epoxy matrix and the effective mechanical response of the nanocomposite. Ten unique chemistries were developed with different oxygen-based functional groups that capture the effect of oxidized GQD on the mechanical properties of the epoxy. Uniaxial strain simulations revealed that a maximum strength gain of 56% and stiffness gain of 18% was computed by the hydroxylated GQD-epoxy nanocomposite.
创建时间:
2024-10-09
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作