Projects per year
Abstract
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.
Original language | English |
---|---|
Article number | 2100217 |
Number of pages | 13 |
Journal | Advanced Theory and Simulations |
Volume | 5 |
Issue number | 2 |
Early online date | 27 Nov 2021 |
DOIs | |
Publication status | Published - Feb 2022 |
MoE publication type | A1 Journal article-refereed |
Keywords
- clathrates
- force constant potentials
- graphics processing unit acceleration
- molecular dynamics
- molybdenum disulfide
- thermal conductivity
Fingerprint
Dive into the research topics of 'Efficient Calculation of the Lattice Thermal Conductivity by Atomistic Simulations with Ab Initio Accuracy'. Together they form a unique fingerprint.Datasets
-
Data and code for "Efficient calculation of the lattice thermal conductivity by atomistic simulations with ab-initio accuracy"
Brorsson, J. (Creator), Hashemi Petrudi, A. (Creator), Fan, Z. (Creator), Fransson, E. (Creator), Eriksson, F. (Creator), Ala-Nissila, T. (Creator), Krasheninnikov, A. V. (Creator), Komsa, H.-P. (Creator) & Erhart, P. (Creator), Zenodo, 2021
DOI: 10.5281/zenodo.5034181, https://zenodo.org/record/7915677
Dataset
Projects
- 2 Finished
-
Finnish Centre of Excellence in Quantum Technology
Alipour, S. (Project Member), Ala-Nissilä, T. (Principal investigator), Fan, Z. (Project Member), Tuorila, J. (Project Member) & Hirvonen, P. (Project Member)
01/01/2018 → 31/12/2020
Project: Academy of Finland: Other research funding
-
FUNTOMX: Controlled functionalization of two-dimensional MXene sheets
Komsa, H.-P. (Principal investigator)
01/09/2017 → 31/12/2019
Project: Academy of Finland: Other research funding