Thermal conductivity suppression in GaAs-AlAs core-shell nanowire arrays
| Autor: | Vladislav Khayrudinov, Ilkka Tittonen, Harri Lipsanen, Taneli Juntunen, Hua Jiang, Tomi Koskinen, Tuomas Haggren |
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| Přispěvatelé: | Department of Electronics and Nanoengineering, Ilkka Tittonen Group, Australian National University, Department of Applied Physics, Aalto-yliopisto, Aalto University |
| Rok vydání: | 2019 |
| Předmět: |
Materials science
Phonon business.industry Nanowire Physics::Optics Heterojunction 02 engineering and technology 010402 general chemistry 021001 nanoscience & nanotechnology Thermoelectric materials Condensed Matter::Mesoscopic Systems and Quantum Hall Effect 01 natural sciences 7. Clean energy 0104 chemical sciences Condensed Matter::Materials Science Semiconductor Thermal conductivity Thermal Optoelectronics General Materials Science 0210 nano-technology business Transport phenomena |
| Zdroj: | Nanoscale. 11(43) |
| ISSN: | 2040-3372 |
| Popis: | openaire: EC/H2020/645241/EU//TransFlexTeg Semiconductor nanowire heterostructures have been shown to provide appealing properties for optoelectronics and solid-state energy harvesting by thermoelectrics. Among these nanoarchitectures, coaxial core–shell nanowires have been of primary interest due to their electrical functionality, as well as intriguing phonon localization effects in the surface-dominated regime predicted via atomic simulations. However, experimental studies on the thermophysical properties of III–V semiconductor core–shell nanowires remain scarce regardless of the ubiquitous nature of these compounds in solid-state applications. Here, we present thermal conductivity measurements of the arrays of GaAs nanowires coated with AlAs shells. We unveil a strong suppression in thermal transport facilitated by the AlAs shells, up to ∼60%, producing a non-monotonous dependence of thermal conductivity on the shell thickness. Such translation of the novel heat transport phenomena to macroscopic nanowire arrays paves the way for rational thermal design in nanoscale applications. |
| Databáze: | OpenAIRE |
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