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    Optimization of Seebeck nanoantenna-based infrared harvesters

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    oe-28-1-116.pdf (1.070Mb)
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    Date
    2020-01
    Author
    Briones, Edgar
    Ruiz-Cruz, Riemann
    Briones, Joel
    Simon, Jorge
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    In 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.
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    © ITESO, Universidad Jesuita de Guadalajara 2022

    Sistemas de Información de la Dirección de Información Académica, DIA
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    © ITESO, Universidad Jesuita de Guadalajara 2022

    Sistemas de Información de la Dirección de Información Académica, DIA
    Biblioteca "Dr. Jorge Villalobos Padilla, S.J."

    Contact Us | Send Feedback