Lattice dynamics of YbxCo4Sb12 skutterudite by machine-learning interatomic potentials: Effect of filler concentration and disorder

Pavel Korotaev and Alexander Shapeev
Phys. Rev. B 102, 184305 – Published 19 November 2020
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Abstract

Lattice dynamics determines a number of important properties of solids. While computational methods with predictive power have been developed in this area, the task is still difficult for the complex compounds. We present a method for automatic on-the-fly generation of multicomponent interatomic potentials. The method is based on active learning, which ensures effective extrapolation to new atomic environments. The accuracy is then demonstrated on the example of the Yb-filled skutterudite compound YbxCo4Sb12, which is a family of the promising thermoelectric materials. Atomic displacements, vibrational spectrum, and lattice thermal conductivity were obtained and the effect of the Yb filling and ordering was studied as 700 K. The potential allowed us to reproduce fine features of the vibrational spectrum, as well as the reduction of the lattice thermal conductivity with filling. We found only a small effect of the disorder on the vibrational spectrum and the thermal conductivity.

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  • Received 24 September 2020
  • Accepted 4 November 2020

DOI:https://doi.org/10.1103/PhysRevB.102.184305

©2020 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Pavel Korotaev1,2,* and Alexander Shapeev3

  • 1Dukhov Research Institute for Automatics, Sushchevskaya 22, Moscow 127055, Russia
  • 2Moscow Institute of Physics and Technology, Institutskiy Pereulok 9, Dolgoprudny, Moscow Region 141700, Russia
  • 3Skolkovo Institute of Science and Technology, Skolkovo Innovation Center 3, Moscow 143026, Russia

  • *korotaev@vniia.ru

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Issue

Vol. 102, Iss. 18 — 1 November 2020

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