Optimization of Seebeck nanoantenna-based infrared harvesters

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dc.contributor.authorBriones, Edgar
dc.contributor.authorRuiz-Cruz, Riemann
dc.contributor.authorBriones, Joel
dc.contributor.authorSimon, Jorge
dc.date.accessioned2021-04-27T23:19:54Z
dc.date.available2021-04-27T23:19:54Z
dc.date.issued2020-01
dc.descriptionIn this letter, the authors develop an optimized Seebeck nanoantenna design suitablefor IR harvesting applications. The design is optimized via the so-called particle-swarm-optimization algorithm (PSO), an evolutionary algorithm able to drive the morphology of anano-object towards an optimum. Along with the so-called nanoloading technique, efforts aresubsequently addressed to understand the physical mechanisms behind the wave energy to voltageconversion, from both numerical and theoretical perspectives. In particular, the thermal andintrinsic impedance are considered to be the key issues beneath the device’s response.es_MX
dc.description.sponsorshipITESO, A.C.es
dc.identifier.citationEdgar Briones, Riemann Ruiz-Cruz, Joel Briones, and Jorge Simon (2020). Optimization of Seebeck nanoantenna-based infrared harvesters. Opt. Express 28 (1): 116-129.es_MX
dc.identifier.isbn10944087
dc.identifier.urihttps://hdl.handle.net/11117/6569
dc.language.isoenges_MX
dc.publisherOSA Publishinges_MX
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdfes_MX
dc.subjectOptimizationes_MX
dc.subjectIR harvesting applicationses_MX
dc.subjectparticle swarm optimizationes_MX
dc.titleOptimization of Seebeck nanoantenna-based infrared harvesterses_MX
dc.typeinfo:eu-repo/semantics/articlees_MX
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_MX

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