Abstrakti
Thermal properties of molybdenum disulfide (MoS2) have recently attracted attention related to fundamentals of heat propagation in strongly anisotropic materials, and in the context of potential applications to optoelectronics and thermoelectrics. Multiple empirical potentials have been developed for classical molecular dynamics (MD) simulations of this material, but it has been unclear which provides the most realistic results. Here, we calculate lattice thermal conductivity of single- and multilayer pristine MoS2 by employing three different thermal transport MD methods: equilibrium, nonequilibrium, and homogeneous nonequilibrium ones. We mainly use the Graphics Processing Units Molecular Dynamics code for numerical calculations, and the Large-scale Atomic/Molecular Massively Parallel Simulator code for crosschecks. Using different methods and computer codes allows us to verify the consistency of our results and facilitate comparisons with previous studies, where different schemes have been adopted. Our results using variants of the Stillinger-Weber potential are at odds with some previous ones and we analyze the possible origins of the discrepancies in detail. We show that, among the potentials considered here, the reactive empirical bond order (REBO) potential gives the most reasonable predictions of thermal transport properties as compared to experimental data. With the REBO potential, we further find that isotope scattering has only a small effect on thermal conduction in MoS2 and the in-plane thermal conductivity decreases with increasing layer number and saturates beyond about three layers. We identify the REBO potential as a transferable empirical potential for MD simulations of MoS2 which can be used to study thermal transport properties in more complicated situations such as in systems containing defects or engineered nanoscale features. This work establishes a firm foundation for understanding heat transport properties of MoS2 using MD simulations.
| Alkuperäiskieli | Englanti |
|---|---|
| Artikkeli | 054303 |
| Sivut | 1-13 |
| Sivumäärä | 13 |
| Julkaisu | Physical Review B |
| Vuosikerta | 99 |
| Numero | 5 |
| DOI - pysyväislinkit | |
| Tila | Julkaistu - 11 helmik. 2019 |
| OKM-julkaisutyyppi | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä |
Rahoitus
We thank X. Gu and Z. Kou for fruitful discussions. This work was supported in part by the National Natural Science Foundation of China (Grants No. 11404033 and No. 11502217) and in part by the Academy of Finland (Projects No. 286279 and No. 311058) and its Centre of Excellence program QTF (Project No. 312298). We acknowledge the computational resources provided by Aalto Science-IT project, Finland's IT Center for Science (CSC), and HPC of NWAFU. A.J.G. acknowledges support from the Department of Defense (DoD) through the National Defense Science & Engineering Graduate Fellowship (NDSEG) Program as well as Stanford University and the Stanford Research Computing Center for providing computational resources that contributed to these results. A.J.G. and E.P. acknowledge support from Air Force Office of Scientific Research (AFOSR) Grant No. FA9550-14-1-0251, National Science Foundation (NSF) EFRI 2-DARE Grant No. 1542883, and the Stanford SystemX Alliance. A.V.K. also thanks DFG for the support under Project No. KR 4866/2-1. APPENDIX: