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Advcd Theory and Sims - 2021 - Brorsson - Efficient Calculation of the Lattice Thermal Conductivity by Atomistic.pdf (1.4 MB)

Efficient calculation of the lattice thermal conductivity by atomistic simulations with ab initio accuracy

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posted on 2022-05-09, 11:12 authored by Joakim Brorsson, Arsalan Hashemi, Zheyong Fan, Erik Fransson, Fredrik Eriksson, Tapio Ala-NissilaTapio Ala-Nissila, Arkady V Krasheninnikov, Hannu‐Pekka Komsa, Paul Erhart

High-order force constant expansions can provide accurate representations of the potential energy surface relevant to vibrational motion. They can be efficiently parametrized using quantum mechanical calculations and subsequently sampled at a fraction of the cost of the underlying reference calculations. Here, force constant expansions are combined via the hiphive package with GPU-accelerated molecular dynamics simulations via the GPUMD package to obtain an accurate, transferable, and efficient approach for sampling the dynamical properties of materials. The performance of this methodology is demonstrated by applying it both to materials with very low thermal conductivity (Ba8Ga16Ge30, SnSe) and a material with a relatively high lattice thermal conductivity (monolayer-MoS2). These cases cover both situations with weak (monolayer-MoS2, SnSe) and strong (Ba8Ga16Ge30) pho renormalization. The simulations also enable to access complementary information such as the spectral thermal conductivity, which allows to discriminate the contribution by different phonon modes while accounting for scattering to all orders. The software packages described here are made available to the scientific community as free and open-source software in order to encourage the more widespread use of these techniques as well as their evolution through continuous and collaborative development.

Funding

Knut och Alice Wallenbergs Stiftelse. Grant Number: 2014.0226

Vetenskapsrådet. Grant Numbers: 2020-04935, 2018-06482

Natural Science Foundation of China. Grant Number: 11974059

Academy of Finland. Grant Number: 311058

Strategiske Forskningsråd. Grant Number: 1305-00002B

History

School

  • Science

Department

  • Mathematical Sciences

Published in

Advanced Theory and Simulations

Volume

5

Issue

2

Publisher

Wiley

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Wiley under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Publication date

2021-11-27

Copyright date

2021

ISSN

2513-0390

eISSN

2513-0390

Language

  • en

Depositor

Prof Tapio Ala-Nissila. Deposit date: 5 May 2022

Article number

2100217

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