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Study of Ge‐Sb‐Te Superlattice Structure Based on Topological Descriptors

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Listed:
  • Xiujun Zhang
  • Muhammad Naeem
  • Abdul Rauf
  • Adnan Aslam
  • Zafar Iqbal
  • Abudulai Issa

Abstract

Ge‐Sb‐Te superlattice is a new electronic material that is capable of storing nonvolatile phase‐change memories with very low energy consumption. Topological descriptors are numerical values given to molecular structures that may be used to predict specific physical/chemical characteristics. In this work, we have investigated topological descriptors of the Ge‐Sb‐Te superlattice structure based on ev and ve‐degree. We have calculated the Zagreb, geometric‐arithmetic, Randic, and atom‐bond connectivity indices of the Ge‐Sb‐Te superlattice structure using the ev‐ and ve‐degrees. This kind of research may be beneficial for understanding the structure’s chemical and biological activity.

Suggested Citation

  • Xiujun Zhang & Muhammad Naeem & Abdul Rauf & Adnan Aslam & Zafar Iqbal & Abudulai Issa, 2022. "Study of Ge‐Sb‐Te Superlattice Structure Based on Topological Descriptors," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:jjmath:v:2022:y:2022:i:1:n:5747464
    DOI: 10.1155/2022/5747464
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    References listed on IDEAS

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    1. Jia-Bao Liu & Yan Bao & Wu-Ting Zheng & Sakander Hayat, 2021. "NETWORK COHERENCE ANALYSIS ON A FAMILY OF NESTED WEIGHTED n-POLYGON NETWORKS," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 29(08), pages 1-15, December.
    2. Liu, Jia-Bao & Pan, Xiang-Feng & Hu, Fu-Tao & Hu, Feng-Feng, 2015. "Asymptotic Laplacian-energy-like invariant of lattices," Applied Mathematics and Computation, Elsevier, vol. 253(C), pages 205-214.
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