锌
拓扑(电路)
硅酸盐
化学
金属有机骨架
连接(主束)
氧化物
图形
化学物理
纳米技术
生物系统
材料科学
计算机科学
理论计算机科学
有机化学
数学
几何学
吸附
组合数学
生物
作者
Aqsa Sattar,Muhammad Javaid
标识
DOI:10.1016/j.comptc.2023.114056
摘要
Metal–organic frameworks (MOFs) are intriguing porous materials that are formed by combining organic materials with metals. MOFs have a vast range of utilizations in distinct medical fields with great efficiency. Recently, Zinc-related MOFs have been investigated and are in demand due to their efficient utilization in medical fields such as biosensing, cancer therapy and drug delivery. To mathematically characterize the chemical structures using numerical graph descriptors is the present-day line of research. A numerical graph descriptor or a topological index (TI) is a numerical quantity that is linked with graphs and assists in correlating the topology of a chemical compound. Various distance-based descriptors can be found in the literature. Connection-based TIs, instead of degree-based TIs are considered to be more potent in measuring the chemical aspects of molecular compounds. In this paper, we compute the connection-based TIs of zinc-related MOFs such as zinc oxide and zinc silicate. Further, to examine superiority, we numerically and graphically compare these zinc-related MOFS with each other on the basis of their computed results.
科研通智能强力驱动
Strongly Powered by AbleSci AI