Mathematically modeling of Ge-Sb-Te superlattice to estimate the physico-chemical characteristics
Superlattices are periodic arrangements of two or more different materials on a nanoscale. Ge-Sb-Te (Germanium-Antimony-Tellurium) superlattices are a type of material used in phase-change memory (PCM) technology. PCM is a non-volatile memory technology that relies on the reversible phase transition...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-04-01
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| Series: | Ain Shams Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447923005063 |
| _version_ | 1827307942890700800 |
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| author | Ruxian Chen Muhammad Naeem Muhammad Ishaq Ferdous M. Tawfiq Abdul Rauf Adnan Aslam |
| author_facet | Ruxian Chen Muhammad Naeem Muhammad Ishaq Ferdous M. Tawfiq Abdul Rauf Adnan Aslam |
| author_sort | Ruxian Chen |
| collection | DOAJ |
| description | Superlattices are periodic arrangements of two or more different materials on a nanoscale. Ge-Sb-Te (Germanium-Antimony-Tellurium) superlattices are a type of material used in phase-change memory (PCM) technology. PCM is a non-volatile memory technology that relies on the reversible phase transition between amorphous and crystalline states in certain materials. This phase-change property, combined with the non-volatile nature of the material, makes it suitable for applications like phase-change memory in electronic devices. Topological and entropy indices are the mathematical tools that are helpful to estimate the physico-chemical characteristics of chemical compounds. In this article, we have calculated some reduced reverse degree-based topological indices and entropy indices for Ge-Sb-Te superlattice. Ravi et al. [32] examined the statistically significant relationship of reduced reverse degree-based topological indices with physico-chemical characteristics of drug structures and proposed regression models using entropy indices. In this context, our computed results can be helpful in predicting the physico-chemical characteristics of Ge-Sb-Te superlattices. |
| first_indexed | 2024-04-24T18:48:53Z |
| format | Article |
| id | doaj.art-bbaa16a848d647e39ab79e7cdaddcf6b |
| institution | Directory Open Access Journal |
| issn | 2090-4479 |
| language | English |
| last_indexed | 2024-04-24T18:48:53Z |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj.art-bbaa16a848d647e39ab79e7cdaddcf6b2024-03-27T04:51:49ZengElsevierAin Shams Engineering Journal2090-44792024-04-01154102617Mathematically modeling of Ge-Sb-Te superlattice to estimate the physico-chemical characteristicsRuxian Chen0Muhammad Naeem1Muhammad Ishaq2Ferdous M. Tawfiq3Abdul Rauf4Adnan Aslam5Software Engineering Institute of Guangzhou, 510980, Guangzhou, China; Institute of Computing Science and Technology, Guangzhou University, 510006, Guangzhou, ChinaDepartment of Mathematics, School of Natural Sciences, National University of Sciences and Technology, Islamabad, PakistanDepartment of Mathematics, School of Natural Sciences, National University of Sciences and Technology, Islamabad, PakistanMathematics Department, College of Science, King Saud University, P.O. Box 22452, Riyadh 11495, Saudi ArabiaAir University Multan Campus, Multan, PakistanDepartment of Natural Sciences and Humanities, University of Engineering and Technology, Lahore (RCET), Pakistan; Corresponding author.Superlattices are periodic arrangements of two or more different materials on a nanoscale. Ge-Sb-Te (Germanium-Antimony-Tellurium) superlattices are a type of material used in phase-change memory (PCM) technology. PCM is a non-volatile memory technology that relies on the reversible phase transition between amorphous and crystalline states in certain materials. This phase-change property, combined with the non-volatile nature of the material, makes it suitable for applications like phase-change memory in electronic devices. Topological and entropy indices are the mathematical tools that are helpful to estimate the physico-chemical characteristics of chemical compounds. In this article, we have calculated some reduced reverse degree-based topological indices and entropy indices for Ge-Sb-Te superlattice. Ravi et al. [32] examined the statistically significant relationship of reduced reverse degree-based topological indices with physico-chemical characteristics of drug structures and proposed regression models using entropy indices. In this context, our computed results can be helpful in predicting the physico-chemical characteristics of Ge-Sb-Te superlattices.http://www.sciencedirect.com/science/article/pii/S2090447923005063Topological indicesTopological characteristicPhysico-chemical characteristicsDynamic behaviorGe-Sb-Te superlattice |
| spellingShingle | Ruxian Chen Muhammad Naeem Muhammad Ishaq Ferdous M. Tawfiq Abdul Rauf Adnan Aslam Mathematically modeling of Ge-Sb-Te superlattice to estimate the physico-chemical characteristics Ain Shams Engineering Journal Topological indices Topological characteristic Physico-chemical characteristics Dynamic behavior Ge-Sb-Te superlattice |
| title | Mathematically modeling of Ge-Sb-Te superlattice to estimate the physico-chemical characteristics |
| title_full | Mathematically modeling of Ge-Sb-Te superlattice to estimate the physico-chemical characteristics |
| title_fullStr | Mathematically modeling of Ge-Sb-Te superlattice to estimate the physico-chemical characteristics |
| title_full_unstemmed | Mathematically modeling of Ge-Sb-Te superlattice to estimate the physico-chemical characteristics |
| title_short | Mathematically modeling of Ge-Sb-Te superlattice to estimate the physico-chemical characteristics |
| title_sort | mathematically modeling of ge sb te superlattice to estimate the physico chemical characteristics |
| topic | Topological indices Topological characteristic Physico-chemical characteristics Dynamic behavior Ge-Sb-Te superlattice |
| url | http://www.sciencedirect.com/science/article/pii/S2090447923005063 |
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