Topological descriptors, entropy measures and NMR spectral predictions for nanoporous graphenes with [14]annulene pores

Author:

Arockiaraj Micheal1ORCID,Raza Zahid2,Fiona J. Celin1ORCID,Abraham Jessie3ORCID,Shalini Arul Jeya4,Balasubramanian Krishnan5ORCID

Affiliation:

1. Department of Mathematics Loyola College Chennai India

2. Department of Mathematics, College of Sciences University of Sharjah Sharjah UAE

3. Department of Mathematics KCG College of Technology Chennai India

4. Department of Mathematics Women's Christian College Chennai India

5. School of Molecular Sciences Arizona State University Tempe Arizona USA

Abstract

AbstractPorous two‐dimensional (2D) nanographene structures are materials with vast potentials in several areas of research with varied applications. The porous structures of these 2D‐materials offer multiple applications in the field of nanochemistry including sequestration of toxic metal ions as they possess large surface areas, enhanced electrical and electronic properties, and high mechanical flexibility. Their porous structures facilitate the creation of highly efficient electrodes, which could significantly improve the performance of batteries and other energy storage technologies. Topological descriptors are powerful tools for characterizing their structures and predicting the properties of molecules and thus have a number of applications. We compute the analytical expressions for degree‐based and Szeged‐type topological descriptors and their information‐theoretic entropies. In addition, we perform a comparative analysis of the scaled bond‐wise entropies between nanoporous graphenes and rectangular kekulene structures with comparable sizes. Furthermore, we predict the C and proton NMR spectral patterns of these materials using graph‐theoretical techniques.

Funder

University of Sharjah

Publisher

Wiley

Subject

Physical and Theoretical Chemistry,Condensed Matter Physics,Atomic and Molecular Physics, and Optics

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