<?xml version="1.0"?>
<records>
  <record>
    <language>eng</language>
    <publisher>Ansari Education and Research Society</publisher>
    <journalTitle>Journal of Ultra Scientist of Physical Sciences</journalTitle>
    <issn/>
    <eissn/>
    <publicationDate>April 2021</publicationDate>
    <volume>33</volume>
    <issue>4</issue>
    <startPage>30</startPage>
    <endPage>41</endPage>
    <doi>http://dx.doi.org/10.22147/jusps-A/330401</doi>
    <publisherRecordId>1543</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Computation of Nirmala Indices of Some Chemical Networks</title>
    <authors>
      <author>
        <name>V.R. KULLI</name>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>B. CHALUVARAJU</name>
        <affiliationId>2</affiliationId>
      </author>
      <author>
        <name>T.V. ASHA</name>
        <affiliationId>2</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">Department of Mathematics Gulbarga University, Gulbarga 585106 (India)</affiliationName>
      <affiliationName affiliationId="2">Department of Mathematics, Bangalore University, Jnana Bharathi Campus, Bangalore-560 056 (India)</affiliationName>
    </affiliationsList>
    <abstract language="eng">&lt;p&gt;Chemical graph theory is a branch of graph theory whose focus of interest is to finding topological indices of chemical graphs which correlate well with chemical properties of the chemical molecules. In this paper, we compute the Nirmala index, first and second inverse Nirmala indices for some chemical networks like silicate networks, chain silicate networks, hexagonal networks, oxide networks and honeycomb networks along with their comparative analysis.&lt;/p&gt;&#xD;
</abstract>
    <fullTextUrl format="html">https://www.ultrascientist.org/paper/1543/</fullTextUrl>
    <keywords>
      <keyword language="eng">Nirmala index</keyword>
    </keywords>
    <keywords>
      <keyword language="eng">first and second inverse Nirmala indices,</keyword>
    </keywords>
    <keywords>
      <keyword language="eng">chemical networks.</keyword>
    </keywords>
    <keywords>
      <keyword language="eng">Mathematics Subject Classification: 05C09, 05C92, 92E10.</keyword>
    </keywords>
  </record>
</records>
