Journal article 326 views 214 downloads
A neuroevolution potential for predicting the thermal conductivity of α, β, and ε-Ga2O3
,
Zijun Qi ,
Kang Liang ,
Xiang Sun ,
Zhaofu Zhang ,
Lijie Li ,
Qijun Wang ,
Guoqing Zhang ,
Gai Wu ,
Wei Shen
Applied Physics Letters, Volume: 123, Issue: 19
Swansea University Author:
Lijie Li
-
PDF | Accepted Manuscript
Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy.
Download (1.07MB)
DOI (Published version): 10.1063/5.0165320
Abstract
Ga2O3 is an ultrawide-bandgap semiconductor with a variety of crystal configurations, which has the potential for a variety of applications, especially in power electronics and ultraviolet optoelectronics. However, there has been no single interatomic potential reported for Ga2O3 polymorphs in terms...
| Published in: | Applied Physics Letters |
|---|---|
| ISSN: | 0003-6951 1077-3118 |
| Published: |
AIP Publishing
2023
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa64954 |
| Abstract: |
Ga2O3 is an ultrawide-bandgap semiconductor with a variety of crystal configurations, which has the potential for a variety of applications, especially in power electronics and ultraviolet optoelectronics. However, there has been no single interatomic potential reported for Ga2O3 polymorphs in terms of molecular dynamics prediction of thermal conductivity. Here, one interatomic potential has been developed based on neural networks, which has the clear advantages of consuming less computational power than density functional theory and has high accuracy in predicting the thermal conductivity of the three polymorphs of Ga2O3. Using the neuroevolution potential, the thermal conductivity values at 300 K have been predicted. Hence, the κ[average-α] was 67.2% that of β-Ga2O3, and the κ[average-ε] was only 26.4% that of β-Ga2O3. The possible reasons for the discrepancies in thermal conductivity values in various crystal types and orientations have been explored. As a result, it could be shown that the contribution of low-frequency phonons to thermal conductivity was very significant in Ga2O3, and a unit cell with low symmetry and high atomic number would negatively impact the thermal conductivity of the material. In this work, a scheme has been proposed for accurately predicting the thermal conductivity of Ga2O3 and a relatively accurate value of the thermal conductivity of ε-Ga2O3 has been achieved, which could also provide an atomic-scale perspective for the insight into the thermal conductivity differences among α, β, and ε-Ga2O3. |
|---|---|
| Keywords: |
Thermal conductivity, crystal configurations, power electronics, neuroevolution potential |
| College: |
Faculty of Science and Engineering |
| Funders: |
This work was funded by the National Natural Science Foundation of China (Grant Nos. 62004141 and 52202045), the Fundamental Research Funds for the Central Universities (Grant Nos. 2042022kf1028 and 2042023kf0112), the Major Program of Hubei Province (Grant No. 2023BAA009), the Knowledge Innovation Program of Wuhan-Shuguang (Grant Nos. 2023010201020243 and 2023010201020255), the Hubei Natural Science Foundation (Grant No. 2022CFB606), and the Open Fund of Hubei Key Laboratory of Electronic Manufacturing and Packaging Integration (Grant No. EMPI2023027). |
| Issue: |
19 |