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2D pentagonal-graphene and pentagonal-silicene sheets engineered for the detection of DNA nucleobases for genetic biomarker: A DFT study


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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Hassan, Arzoo</dc:creator>
  <dc:creator>Mehmood, Andleeb</dc:creator>
  <dc:creator>Younis, Umer</dc:creator>
  <dc:creator>Ghazanfar, Mahmood Ahmad</dc:creator>
  <dc:creator>Wang, Yong</dc:creator>
  <dc:creator>Tian, Xiaoqing</dc:creator>
  <dc:creator>Sun, Qing-Feng</dc:creator>
  <dc:date>2024-07-26</dc:date>
  <dc:description>The deposited structure models of DNA adsorbed on prisitne PG/p-Si and metal (Au/W) doped PG/p-Si sheets, have been subjected to first principles calculations  based on DFT (PBE+vdW). The calculated binding affinity on PG and p-Si surface by M062X/6-31G* level of theory and adsorption energies by DFT predicts that PG has higher sensitivity towards DNA nucleic bases compared to p-Si with evident changes in their band structure properties.</dc:description>
  <dc:identifier>https://materialscloud-archive-failover.cineca.it/record/2024.112</dc:identifier>
  <dc:identifier>doi:10.24435/materialscloud:cw-ct</dc:identifier>
  <dc:identifier>mcid:2024.112</dc:identifier>
  <dc:identifier>oai:materialscloud.org:2273</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Materials Cloud</dc:publisher>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>DFT</dc:subject>
  <dc:subject>electronic structure</dc:subject>
  <dc:subject>2D materials</dc:subject>
  <dc:title>2D pentagonal-graphene and pentagonal-silicene sheets engineered for the detection of DNA nucleobases for genetic biomarker: A DFT study</dc:title>
  <dc:type>Dataset</dc:type>
</oai_dc:dc>