Literature DB >> 30052247

The impact of tilt grain boundaries on the thermal transport in perovskite SrTiO3 layered nanostructures. A computational study.

Stephen R Yeandel1, Marco Molinari, Stephen C Parker.   

Abstract

Thermal management at solid interfaces presents a technological challenge for modern thermoelectric power generation. Here, we define a computational protocol to identify nanoscale structural features that can facilitate thermal transport in technologically important nanostructured materials. We consider the highly promising thermoelectric material, SrTiO3, where tilt grain boundaries lower thermal conductivity. The magnitude of the reduction is shown to depend on compositional and structural arrangements at the solid interface. Quantitative analysis indicates that layered nanostructures less than 10 nm will be required to significantly reduce the thermal conductivity below the bulk value, and it will be virtually independent of temperature for films less than 2 nm depending on the orientation with a reduction of thermal transport up to 75%. At the nanoscale, the vibrational response of nanostructures shows concerted vibrations between the grain boundary and inter-boundary regions. As the grain boundary acts markedly as a phonon quencher, we predict that any manipulation of nanostructures to further reduce thermal conductivity will be more beneficial if applied to the inter-boundary region. Our findings may be applied more widely to benefit other technological applications where efficient thermal transport is important.

Year:  2018        PMID: 30052247     DOI: 10.1039/c8nr02234h

Source DB:  PubMed          Journal:  Nanoscale        ISSN: 2040-3364            Impact factor:   7.790


  2 in total

1.  Unraveling the Impact of Graphene Addition to Thermoelectric SrTiO3 and La-Doped SrTiO3 Materials: A Density Functional Theory Study.

Authors:  Joshua Tse; Alex Aziz; Joseph M Flitcroft; Jonathan M Skelton; Lisa J Gillie; Stephen C Parker; David J Cooke; Marco Molinari
Journal:  ACS Appl Mater Interfaces       Date:  2021-08-18       Impact factor: 9.229

2.  Quantitative prediction of grain boundary thermal conductivities from local atomic environments.

Authors:  Susumu Fujii; Tatsuya Yokoi; Craig A J Fisher; Hiroki Moriwake; Masato Yoshiya
Journal:  Nat Commun       Date:  2020-04-15       Impact factor: 14.919

  2 in total

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