Journal article Open Access

Optimising GaN heterostructures for 5G

Behet, Markus; Derluyn, Joff; Degroote, Stefan; Germain, Marianne


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.3706893</identifier>
  <creators>
    <creator>
      <creatorName>Behet, Markus</creatorName>
      <givenName>Markus</givenName>
      <familyName>Behet</familyName>
      <affiliation>Epigan</affiliation>
    </creator>
    <creator>
      <creatorName>Derluyn, Joff</creatorName>
      <givenName>Joff</givenName>
      <familyName>Derluyn</familyName>
      <affiliation>Epigan</affiliation>
    </creator>
    <creator>
      <creatorName>Degroote, Stefan</creatorName>
      <givenName>Stefan</givenName>
      <familyName>Degroote</familyName>
      <affiliation>Epigan</affiliation>
    </creator>
    <creator>
      <creatorName>Germain, Marianne</creatorName>
      <givenName>Marianne</givenName>
      <familyName>Germain</familyName>
      <affiliation>Epigan</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Optimising GaN heterostructures for 5G</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <dates>
    <date dateType="Issued">2020-02-06</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="JournalArticle"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3706893</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3706892</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/serena-h2020</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;THE ROLL-OUT of 5G is great news for GaN. It is predicted to propel the market for RF devices made from this wide bandgap semiconductor to more than $2 billion by 2024, according to the French market analyst Yole D&amp;eacute;veloppement. The move from 4G to 5G should be seen as part evolution, part revolution. Grabbing the most attention is the availability of enhanced mobile services, resulting from faster speeds, ultra-low latency, and a reduction in power consumption. However, 5G will also bring further investment in traditional machineto-machine and internet-of-things applications, and open up new market opportunities in mission critical services, such as autonomous vehicles, drones and &amp;lsquo;telehealth&amp;rsquo;. It is even expected that 5G will act as a catalyst for transformative changes of work processes, and will establish a new set of rules for competitive economic advantages. So great are these changes that IHS Markit forecasts 5G to enable $13.2 trillion of global economic output in 2035.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/779305/">779305</awardNumber>
      <awardTitle>gan-on-Silicon Efficient mm-wave euRopean systEm iNtegration plAtform</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
115
120
views
downloads
All versions This version
Views 115115
Downloads 120120
Data volume 92.6 MB92.6 MB
Unique views 109109
Unique downloads 109109

Share

Cite as