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Machine learning-optimized terahertz ultra-wideband tunable metamaterial absorber

 
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0001-5049-7885
cris.virtualsource.department1e17c65e-ce59-407d-ab8c-80a86c9dd65b
cris.virtualsource.orcid1e17c65e-ce59-407d-ab8c-80a86c9dd65b
dc.contributor.authorTian, Shilei
dc.contributor.authorChen, Cheng
dc.contributor.authorXue, Jiaxuan
dc.contributor.authorLi, Zhihao
dc.contributor.authorWang, Jixin
dc.contributor.authorStiens, Johan
dc.date.accessioned2025-10-30T11:09:37Z
dc.date.available2025-10-30T11:09:37Z
dc.date.createdwos2025-09-19
dc.date.issued2025
dc.description.wosFundingTextThis work has been supported by the funding of Postdoctoral Research Project of Shaanxi Province; Foreign Expert Project of Ministry of Human Resources and Social Security of China (S20240317) ; Special Research Plan Project of Shaanxi Provincial Department of Education (24JK0673) ; Xi'an New Lowdimensional Materials and Devices and Terahertz Technology International Science and Technology Cooperation Base; also supported by the funding Channels from Belgium: ETRO.RDI large research group funding; GEAR-IOF funding Tech4-Health; SRP-funding LSDS (learning based Signal & Data Processing Systems).
dc.identifier.doi10.1016/j.diamond.2025.112793
dc.identifier.issn0925-9635
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/58350
dc.language.isoeng
dc.publisherELSEVIER SCIENCE SA
dc.source.beginpage112793
dc.source.journalDIAMOND AND RELATED MATERIALS
dc.source.numberofpages11
dc.source.volume159
dc.title

Machine learning-optimized terahertz ultra-wideband tunable metamaterial absorber

dc.typeJournal article
dspace.entity.typePublication
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