Thermal transport properties of 2D narrow bandgap semiconductor Ca <sub>3</sub> N <sub>2</sub> , Ba <sub>3</sub> P <sub>2</sub> , and Ba <sub>3</sub> As <sub>2</sub> : Machine learning potential study

Abstract By combining neuroevolution potential (NEP) with phonon Boltzmann transport theory, we systematically investigate the thermal transport properties of three two-dimensional (2D) narrow bandgap semiconductors: Ca 3 N 2 , Ba 3 P 2 , and Ba 3 As 2 . The room-temperature lattice thermal conductivities ( κ L ) of Ca 3 N 2 , Ba 3 P 2 , and Ba 3 As 2 considering only three-phonon scattering are 6.60 W/mK, 11.90 W/mK, and 8.88 W/mK, respectively. When taking into account the higher-order phonon (four-phonon) scattering processes, the κ L of these three materials decrease to 6.12 W/mK, 9.73 W/mK and 6.77 W/mK, respectively. Among these systems, Ba 3 As 2 undergoes the most pronounced suppression with a reduction of 23.8%. This is mainly due to the greater scattering phase space which enhances the four-phonon scattering. Meanwhile, it is revealed that unlike the traditional evaluation using the P 4 / P 3 ratio as an indicator of the strength of four-phonon interactions, the thermal conductivity of Ba 3 P 2 exhibits weaker four-phonon suppression behavior compared to Ba 3 As 2 , despite hosting a higher P 4 / P 3 ratio. That is to say, the strength of four-phonon scattering cannot be evaluated solely by the ratio of P 4 / P 3 . These results presented in this work shed light on the thermal transport properties of such new 2D semiconductors with narrow bandgaps.

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Publication Details

Journal
Chinese Physics B
Published
2025-06-17
DOI
https://doi.org/10.1088/1674-1056/ade5a0
Primary Topic
Machine Learning in Materials Science
Type
article
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article

Thermal transport properties of 2D narrow bandgap semiconductor Ca 3 N 2 , Ba 3 P 2 , and Ba 3 As 2 : Machine learning potential study

Tao Ouyang, Yu Liu, Pei Zhang, Wenlong Li et al.
Chinese Physics B
Machine Learning in Materials Science
article

Thermal transport properties of 2D narrow bandgap semiconductor Ca 3 N 2 , Ba 3 P 2 , and Ba 3 As 2 : Machine learning potential study

Tao Ouyang, Yu Liu, Pei Zhang, Wenlong Li, Xinghua Li, Zhendong Li
article en

Abstract

Abstract By combining neuroevolution potential (NEP) with phonon Boltzmann transport theory, we systematically investigate the thermal transport properties of three two-dimensional (2D) narrow bandgap semiconductors: Ca 3 N 2 , Ba 3 P 2 , and Ba 3 As 2 . The room-temperature lattice thermal conductivities ( κ L ) of Ca 3 N 2 , Ba 3 P 2 , and Ba 3 As 2 considering only three-phonon scattering are 6.60 W/mK, 11.90 W/mK, and 8.88 W/mK, respectively. When taking into account the higher-order phonon (four-phonon) scattering processes, the κ L of these three materials decrease to 6.12 W/mK, 9.73 W/mK and 6.77 W/mK, respectively. Among these systems, Ba 3 As 2 undergoes the most pronounced suppression with a reduction of 23.8%. This is mainly due to the greater scattering phase space which enhances the four-phonon scattering. Meanwhile, it is revealed that unlike the traditional evaluation using the P 4 / P 3 ratio as an indicator of the strength of four-phonon interactions, the thermal conductivity of Ba 3 P 2 exhibits weaker four-phonon suppression behavior compared to Ba 3 As 2 , despite hosting a higher P 4 / P 3 ratio. That is to say, the strength of four-phonon scattering cannot be evaluated solely by the ratio of P 4 / P 3 . These results presented in this work shed light on the thermal transport properties of such new 2D semiconductors with narrow bandgaps.

Chinese Physics BVol. 34(9)
Hunan University of Science and Technology (CN), Hunan International Economics University (CN), Xiangtan University (CN)
Openalex Percentile: Top 90%
Machine Learning in Materials Science
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