Thermal conductivity in disordered porous nanomembranes

Marianna Sledzinska, Bartlomiej Graczykowski, Francesc Alzina, Umberto Melia, Konstantinos Termentzidis, David Lacroix, Clivia M. Sotomayor Torres

    Research output: Contribution to journalArticleResearch

    2 Citations (Scopus)

    Abstract

    © 2019 IOP Publishing Ltd. In this work we study the effects of disorder on the thermal conductivity of porous 100 nm thick silicon membranes, in which the size, shape and position of the pores were varied randomly. Measurements using two-laser Raman thermometry on both non-patterned and porous membranes revealed more than a 10-fold reduction of the thermal conductivity compared to that of bulk silicon and a six-fold reduction compared to non-patterned membranes for the sample with random pore shapes. Using Monte Carlo methods we solved the Boltzmann transport equation for phonons and compared different possibilities of pore organization and its influence on the thermal conductivity of the samples. The simulations confirmed that the strongest reduction of thermal conductivity is achieved for a distribution of pores with arbitrary shapes that partially overlap. Up to a 15% reduction of the thermal conductivity with respect to the purely circular pores was predicted for a porous membrane with 37% filling fraction. The effect of the pore shape and distribution was further studied. Maps of temperature and heat flux distributions clearly showed that for particular pore placement heat transport can be efficiently blocked and hot spots can be found in narrow channels between pores. These findings have an impact on the fabrication of membrane-based thermoelectric devices, where low thermal conductivity is required. This work shows that for porous membranes with a given filling fraction the thermal conductivity can be further modified by introducing disorder in the shape and placement of the pores.
    Original languageEnglish
    Article number265401
    JournalNanotechnology
    Volume30
    DOIs
    Publication statusPublished - 12 Apr 2019

    Keywords

    • disorder
    • Monte Carlo methods
    • silicon nanomembrane
    • thermal conductivity

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