Trimmed graphene nanoribbon junctions dataset


Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<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>Leuenberger, Julien</dc:creator>
  <dc:creator>Čerņevičs, Kristiāns</dc:creator>
  <dc:creator>Yazyev, Oleg V.</dc:creator>
  <dc:date>2024-04-18</dc:date>
  <dc:description>As Moore's law approaches its fundamental limits, the development of nanoelectronic devices using low-dimension materials has become a promising avenue for further miniaturization and performance improvements. Among the various novel materials, graphene nanoribbons (GNRs) have emerged as particularly attractive candidates due to their unique electronic properties, opening up a whole new nanoelectronics paradigm consisting of circuits made entirely of graphene. However, due to the technical constraints that naturally arise when working on a two-dimensional plane, the design of efficient nanoelectronic components with a minimal spatial footprint remains a significant challenge. This dataset provides a comprehensive dataset of over 1'500 armchair GNR junctions or various sizes and shapes.</dc:description>
  <dc:identifier>https://archive.materialscloud.org/record/2024.60</dc:identifier>
  <dc:identifier>doi:10.24435/materialscloud:jx-02</dc:identifier>
  <dc:identifier>mcid:2024.60</dc:identifier>
  <dc:identifier>oai:materialscloud.org:1911</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Materials Cloud</dc:publisher>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>MIT License https://spdx.org/licenses/MIT.html</dc:rights>
  <dc:subject>graphene</dc:subject>
  <dc:subject>nanoribbons</dc:subject>
  <dc:subject>junctions</dc:subject>
  <dc:title>Trimmed graphene nanoribbon junctions dataset</dc:title>
  <dc:type>Dataset</dc:type>
</oai_dc:dc>