• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

计算某些化学网络的线图的熵测度。

Computing the Entropy Measures for the Line Graphs of Some Chemical Networks.

机构信息

Abdus Salam School of Mathematical Sciences, Government College University, Lahore, Pakistan.

Department of Mathematics, Government College University, Lahore, Pakistan.

出版信息

Comput Intell Neurosci. 2022 Oct 6;2022:2006574. doi: 10.1155/2022/2006574. eCollection 2022.

DOI:10.1155/2022/2006574
PMID:36248955
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9560836/
Abstract

Chemical Graph entropy plays a significant role to measure the complexity of chemical structures. It has explicit chemical uses in chemistry, biology, and information sciences. A molecular structure of a compound consists of many atoms. Especially, the hydrocarbons is a chemical compound that consists of carbon and hydrogen atoms. In this article, we discussed the concept of subdivision of chemical graphs and their corresponding line chemical graphs. More preciously, we discuss the properties of chemical graph entropies and then constructed the chemical structures namely triangular benzenoid, hexagonal parallelogram, and zigzag edge coronoid fused with starphene. Also, we estimated the degree-based entropies with the help of line graphs of the subdivision of above mentioned chemical graphs.

摘要

化学图熵在衡量化学结构的复杂性方面起着重要作用。它在化学、生物和信息科学中有明确的化学用途。化合物的分子结构由许多原子组成。特别是,烃是一种由碳原子和氢原子组成的化学化合物。在本文中,我们讨论了化学图细分的概念及其相应的线化学图。更重要的是,我们讨论了化学图熵的性质,然后构建了化学结构,即与星苯并环庚烯融合的三角形苯并、六边形平行四边形和锯齿形边缘冠状物。此外,我们还借助上述化学图细分的线图来估计基于度的熵。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/c62b0493b487/CIN2022-2006574.016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/12b069adc378/CIN2022-2006574.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/a04ffceb131a/CIN2022-2006574.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/d35920937e43/CIN2022-2006574.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/3cf08fb4c1df/CIN2022-2006574.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/3af85065809d/CIN2022-2006574.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/aa3e6a6e31d4/CIN2022-2006574.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/20333022b12a/CIN2022-2006574.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/52a64ace5ead/CIN2022-2006574.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/dc1a8e80cc8b/CIN2022-2006574.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/67055f8744c9/CIN2022-2006574.010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/097d6f0b3477/CIN2022-2006574.011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/2b83ac476f9d/CIN2022-2006574.012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/fa0161e32404/CIN2022-2006574.013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/b198841871db/CIN2022-2006574.014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/36c06c6c01ff/CIN2022-2006574.015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/c62b0493b487/CIN2022-2006574.016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/12b069adc378/CIN2022-2006574.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/a04ffceb131a/CIN2022-2006574.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/d35920937e43/CIN2022-2006574.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/3cf08fb4c1df/CIN2022-2006574.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/3af85065809d/CIN2022-2006574.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/aa3e6a6e31d4/CIN2022-2006574.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/20333022b12a/CIN2022-2006574.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/52a64ace5ead/CIN2022-2006574.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/dc1a8e80cc8b/CIN2022-2006574.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/67055f8744c9/CIN2022-2006574.010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/097d6f0b3477/CIN2022-2006574.011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/2b83ac476f9d/CIN2022-2006574.012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/fa0161e32404/CIN2022-2006574.013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/b198841871db/CIN2022-2006574.014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/36c06c6c01ff/CIN2022-2006574.015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b0b/9560836/c62b0493b487/CIN2022-2006574.016.jpg

相似文献

1
Computing the Entropy Measures for the Line Graphs of Some Chemical Networks.计算某些化学网络的线图的熵测度。
Comput Intell Neurosci. 2022 Oct 6;2022:2006574. doi: 10.1155/2022/2006574. eCollection 2022.
2
On analysis of iron (II) chloride via graph entropy measures and statistical models.基于图熵测度和统计模型分析二价铁(II)。
PLoS One. 2024 Jan 2;19(1):e0294580. doi: 10.1371/journal.pone.0294580. eCollection 2024.
3
Edge valency-based entropies of tetrahedral sheets of clay minerals.基于边缘配位数的粘土矿物四面体片的熵。
PLoS One. 2023 Jul 21;18(7):e0288931. doi: 10.1371/journal.pone.0288931. eCollection 2023.
4
Tetrahedral sheets of clay minerals and their edge valency-based entropy measures.粘土矿物的四面体片层及其基于边缘化合价的熵度量。
Math Biosci Eng. 2023 Feb 24;20(5):8068-8084. doi: 10.3934/mbe.2023350.
5
Towards information inequalities for generalized graph entropies.关于广义图熵的信息不平等问题。
PLoS One. 2012;7(6):e38159. doi: 10.1371/journal.pone.0038159. Epub 2012 Jun 8.
6
On analysis of silicon dioxide based on topological indices and entropy measure via regression model.基于拓扑指数和熵测度通过回归模型对二氧化硅进行分析。
Sci Rep. 2024 Sep 28;14(1):22478. doi: 10.1038/s41598-024-73163-8.
7
Structural information content of networks: graph entropy based on local vertex functionals.网络的结构信息内容:基于局部顶点泛函的图熵
Comput Biol Chem. 2008 Apr;32(2):131-8. doi: 10.1016/j.compbiolchem.2007.09.007. Epub 2007 Sep 29.
8
On Properties of Distance-Based Entropies on Fullerene Graphs.关于富勒烯图上基于距离的熵的性质
Entropy (Basel). 2019 May 10;21(5):482. doi: 10.3390/e21050482.
9
Approximate von Neumann entropy for directed graphs.有向图的近似冯·诺依曼熵
Phys Rev E Stat Nonlin Soft Matter Phys. 2014 May;89(5):052804. doi: 10.1103/PhysRevE.89.052804. Epub 2014 May 12.
10
Hosoya Polynomial for Subdivided Caterpillar Graphs.细分 Caterpillar 图的 Hosoya 多项式。
Comb Chem High Throughput Screen. 2022;25(3):554-559. doi: 10.2174/1386207323666201211094406.

本文引用的文献

1
Physical Analysis of Heat for Formation and Entropy of Ceria Oxide Using Topological Indices.利用拓扑指数对氧化铈的形成热和熵进行物理分析。
Comb Chem High Throughput Screen. 2022;25(3):441-450. doi: 10.2174/1386207323999201001210832.
2
The sample size effect in metallic glass deformation.金属玻璃变形中的样本量效应。
Sci Rep. 2020 Jul 1;10(1):10801. doi: 10.1038/s41598-020-67813-w.
3
The Cartesian Product and Join Graphs on Edge-Version Atom-Bond Connectivity and Geometric Arithmetic Indices.笛卡尔积和边版本原子键连接性和几何算术指标上的连接图。
Molecules. 2018 Jul 16;23(7):1731. doi: 10.3390/molecules23071731.
4
Topological Characterization of Carbon Graphite and Crystal Cubic Carbon Structures.拓扑特征化的石墨碳和晶体立方碳结构。
Molecules. 2017 Sep 7;22(9):1496. doi: 10.3390/molecules22091496.
5
Information entropy-based classification of triterpenoids and steroids from Ganoderma.基于信息熵的灵芝三萜类化合物和甾体类化合物分类
Phytochemistry. 2015 Aug;116:305-313. doi: 10.1016/j.phytochem.2015.05.008. Epub 2015 May 26.
6
Molecular dynamics simulations give insight into D-glucose dioxidation at C2 and C3 by Agaricus meleagris pyranose dehydrogenase.分子动力学模拟揭示了双孢蘑菇吡喃糖脱氢酶在 C2 和 C3 位对 D-葡萄糖氧化的作用机制。
J Comput Aided Mol Des. 2013 Apr;27(4):295-304. doi: 10.1007/s10822-013-9645-7. Epub 2013 Apr 17.
7
Generalized walks-based centrality measures for complex biological networks.基于广义游走的复杂生物网络中心性度量
J Theor Biol. 2010 Apr 21;263(4):556-65. doi: 10.1016/j.jtbi.2010.01.014. Epub 2010 Jan 18.
8
On entropy-based molecular descriptors: statistical analysis of real and synthetic chemical structures.基于熵的分子描述符:真实和合成化学结构的统计分析。
J Chem Inf Model. 2009 Jul;49(7):1655-63. doi: 10.1021/ci900060x.
9
Quantitative methods for ecological network analysis.生态网络分析的定量方法。
Comput Biol Chem. 2004 Dec;28(5-6):321-39. doi: 10.1016/j.compbiolchem.2004.09.001.
10
Entropy and the complexity of graphs. I. An index of the relative complexity of a graph.熵与图的复杂性。I. 图的相对复杂性指标。
Bull Math Biophys. 1968 Mar;30(1):175-204. doi: 10.1007/BF02476948.