2022
DOI: 10.1080/00268976.2022.2079568
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Two-dimensional coronene fractal structures: topological entropy measures, energetics, NMR and ESR spectroscopic patterns and existence of isentropic structures

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Cited by 36 publications
(24 citation statements)
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“…To implement Shannon’s entropy approach, we define the structural information function f on the edge set of MOF into a non-negative real number, and in our study, the structural information is taken as the bond measure induced from degree/degree-sum parameters. The entropy of MOF structures with structural information f is defined below, assuming that E (MOF) = { a 1 , a 2 , ..., a n }. As discussed in a series of papers, ,,, we replace the multiplicative component of the above equation with scalar multiplicative, and we arrive at the modified form of entropy as given below. …”
Section: Methodsmentioning
confidence: 99%
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“…To implement Shannon’s entropy approach, we define the structural information function f on the edge set of MOF into a non-negative real number, and in our study, the structural information is taken as the bond measure induced from degree/degree-sum parameters. The entropy of MOF structures with structural information f is defined below, assuming that E (MOF) = { a 1 , a 2 , ..., a n }. As discussed in a series of papers, ,,, we replace the multiplicative component of the above equation with scalar multiplicative, and we arrive at the modified form of entropy as given below. …”
Section: Methodsmentioning
confidence: 99%
“…The entropy of MOF structures with structural information f is defined below, assuming that E (MOF) = { a 1 , a 2 , ..., a n }. As discussed in a series of papers, 28 , 30 , 45 , 46 we replace the multiplicative component of the above equation with scalar multiplicative, and we arrive at the modified form of entropy as given below. …”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The concept of graph entropy or entropy of graph was first time appeared in [41], where molecular graphs are used to study the information content of an organism. Entropy-based methods are powerful tools to investigate various problems in cybernetics, mathematical chemistry, pattern recognition, and computational physics [22,39,42,43,44]. Third version of Zagreb index [28]:…”
Section: Introductionmentioning
confidence: 99%
“…to represent the degree/ degree sum based indices [68][69][70], where ψ(s, t) defined for the first Zagreb index…”
mentioning
confidence: 99%