Publications in Scientific Journals:

J. Carrete, B. Vermeersch, L. Thumfart, R. Kakodkar, G. Trevisi, P. Frigeri, L. Seravalli, J. Feser, A. Rastelli, N. Mingo:
"Predictive Design and Experimental Realization of InAs/GaAs Superlattices with Tailored Thermal Conductivity";
The Journal of Physical Chemistry C, 122 (2018), 4054 - 4062.

English abstract:
We demonstrate an ab initio predictive approach
to computing the thermal conductivity (κ) of InAs/GaAs
superlattices (SLs) of varying period, thickness, and composition.
Our new experimental results illustrate how this method can
yield good agreement with experiment when realistic composition
profiles are used as inputs for the theoretical model. Because
of intrinsic limitations to the InAs thickness than can be grown,
bulk-like SLs show limited sensitivity to the details of their
composition profile, but the situation changes significantly when
finite-thickness effects are considered. If In segregation could be
minimized during the growth process, SLs with significantly higher κ than that of the random alloy with the same composition
would be obtained, with the potential to improve heat dissipation in InAs/GaAs-based devices.

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Created from the Publication Database of the Vienna University of Technology.