journal article·2022-10-12Open access

Molecular Dynamics Simulation on In-Plane Thermal Conductivity of Graphene/Hexagonal Boron Nitride van der Waals Heterostructures

Youzhe Yang, Jun Ma, Jie Yang, Yingyan Zhang

ACS Applied Materials & Interfaces· Volume 14· Issue 40

Abstract

Graphene, hexagonal boron nitride (h-BN), and their heterostructures are promising thermal interface materials due to the outstanding thermal properties of graphene and h-BN. For the heterostructures, extensive work has mainly focused on the thermal transport of two-dimensional (2D) graphene/h-BN (GBN) in-plane heterostructures in which graphene and h-BN are bonded at the interface. In this study, we investigate the thermal conductivity of three-dimensional (3D) GBN van der Waals (vdW) heterostructures by means of nonequilibrium molecular dynamics (NEMD) simulations. Unlike the 2D GBN in-plane heterostructure, the 3D GBN vdW heterostructure consists of three layers where graphene is sandwiched by two h-BN sheets via vdW forces. Various techniques, including hydrogen-functionalization, vacancy defects, tensile strain, interlayer coupling strength, layer numbers of h-BN, size effect, and temperature, are extensively explored to find an effective route for the modulation of the thermal conductivity. It is found that the thermal conductivity of the triple-layer GBN vdW heterostructure is very sensitive to these extrinsic factors. Of these, hydrogen-functionalization is the most effective method. A low hydrogen coverage of 1% in the sandwiched graphene can lead to 55% reduction in the thermal conductivity of the vdW heterostructure. Vacancy defects on graphene exert a more significant effect on the thermal conductivity reduction for the vdW heterostructure than B or N vacancies in the outer h-BN layers. This work reveals the physical mechanism for manipulating the thermal transport along the GBN vdW heterostructures via structural modification and provides a useful guideline for designing novel thermal management devices based on the GBN vdW heterostructures.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Thermal properties of materials · Graphene research and applications · 2D Materials and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Engineering, RMIT University, Bundoora, Victoria 3083, Australia

University of South Australia, UniSA STEM and Future Industries Institute, Mawson Lakes, South Australia 5095, Australia

Funding

Australian Research Council

References (54)

Show source-provided references
1. 10.1039/C4NR03435J10.1039/C4NR03435J ↗
2. 10.1038/s41586-020-2359-910.1038/s41586-020-2359-9 ↗
3. 10.1038/nature2616010.1038/nature26160 ↗
4. 10.1039/C4CP04858J10.1039/C4CP04858J ↗
5. 10.1126/science.aac943910.1126/science.aac9439 ↗
6. 10.1016/j.carbon.2022.01.01210.1016/j.carbon.2022.01.012 ↗
7. 10.1021/acs.langmuir.7b0397410.1021/acs.langmuir.7b03974 ↗
8. 10.1016/j.carbon.2017.03.01110.1016/j.carbon.2017.03.011 ↗
9. 10.1016/j.mtphys.2018.05.00610.1016/j.mtphys.2018.05.006 ↗
10. 10.1016/j.ijheatmasstransfer.2020.11939510.1016/j.ijheatmasstransfer.2020.119395 ↗
11. 10.1038/nnano.2010.17210.1038/nnano.2010.172 ↗
12. 10.1126/science.124435810.1126/science.1244358 ↗
13. 10.1038/s41586-021-03488-110.1038/s41586-021-03488-1 ↗
14. 10.1103/PhysRevApplied.6.03401510.1103/PhysRevApplied.6.034015 ↗
15. 10.1103/PhysRevLett.125.08590210.1103/PhysRevLett.125.085902 ↗
16. 10.1021/acs.nanolett.0c0298310.1021/acs.nanolett.0c02983 ↗
17. 10.1038/s42254-018-0016-010.1038/s42254-018-0016-0 ↗
18. 10.1038/nphys295410.1038/nphys2954 ↗
19. 10.1021/acsami.1c0827510.1021/acsami.1c08275 ↗
20. 10.1021/acs.nanolett.1c0029410.1021/acs.nanolett.1c00294 ↗
21. 10.1016/j.ijheatmasstransfer.2019.11928210.1016/j.ijheatmasstransfer.2019.119282 ↗
22. 10.1021/acsami.2c0425310.1021/acsami.2c04253 ↗
23. 10.1016/j.commatsci.2017.05.04210.1016/j.commatsci.2017.05.042 ↗
24. 10.1021/acs.jpcc.5b0292010.1021/acs.jpcc.5b02920 ↗
25. 10.1063/1.354362210.1063/1.3543622 ↗
26. 10.1007/s10853-017-1472-010.1007/s10853-017-1472-0 ↗
27. 10.1063/1.501009110.1063/1.5010091 ↗
28. 10.1103/PhysRevB.84.11546010.1103/PhysRevB.84.115460 ↗
29. 10.1103/PhysRevB.91.22430110.1103/PhysRevB.91.224301 ↗
30. 10.1063/1.491698510.1063/1.4916985 ↗
31. 10.1021/acs.nanolett.6b0156510.1021/acs.nanolett.6b01565 ↗
32. 10.1039/C2NR32949B10.1039/C2NR32949B ↗
33. 10.1088/0953-8984/26/9/09500210.1088/0953-8984/26/9/095002 ↗
34. 10.1016/j.diamond.2021.10852110.1016/j.diamond.2021.108521 ↗
35. 10.1039/C7CP07345C10.1039/C7CP07345C ↗
36. 10.1006/jcph.1995.103910.1006/jcph.1995.1039 ↗
37. 10.1063/1.505029310.1063/1.5050293 ↗
38. 10.1016/j.physe.2016.03.00610.1016/j.physe.2016.03.006 ↗
39. 10.1039/D0CP00179A10.1039/D0CP00179A ↗
40. 10.1021/acs.jpcc.8b0801510.1021/acs.jpcc.8b08015 ↗
41. 10.1063/1.497843410.1063/1.4978434 ↗
42. 10.1038/srep0390910.1038/srep03909 ↗
43. 10.1007/s11051-017-3749-210.1007/s11051-017-3749-2 ↗
44. 10.1088/1361-6528/ab73bc10.1088/1361-6528/ab73bc ↗
45. 10.3390/nano903034710.3390/nano9030347 ↗
46. 10.1016/j.physleta.2012.10.04810.1016/j.physleta.2012.10.048 ↗
47. 10.1021/acsami.9b1417410.1021/acsami.9b14174 ↗
48. 10.1038/s41524-018-0076-910.1038/s41524-018-0076-9 ↗
49. 10.1038/srep4139810.1038/srep41398 ↗
50. 10.1039/C7CP06415B10.1039/C7CP06415B ↗
51. 10.1039/C7CP04982J10.1039/C7CP04982J ↗
52. 10.1016/j.ijheatmasstransfer.2021.12114510.1016/j.ijheatmasstransfer.2021.121145 ↗
53. 10.1103/PhysRevB.105.12540610.1103/PhysRevB.105.125406 ↗
54. 10.1021/acs.nanolett.1c0029410.1021/acs.nanolett.1c00294 ↗