Thermoelectric properties of penta-InP5: A first-principles and machine learning study

N Nguyen Thanh Tien P Pham Thi Bich Thao (College of Natural Sciences, Can Tho University 1 , 3-2 Road, Can Tho City 94000,) D Duy Khanh Nguyen (Laboratory for Computational Physics, Institute for Computational Science and Artificial Intelligence, Van Lang University 2 , Ho Chi Minh City,) L Le Nhat Thanh (College of Natural Sciences, Can Tho University 1 , 3-2 Road, Can Tho City 94000,) V Vo Khuong Dien (College of Natural Sciences, Can Tho University 1 , 3-2 Road, Can Tho City 94000,)

Abstract

Smart wearable devices that harvest energy from ambient sources, such as body heat, are gaining significant attention due to their potential in diverse applications. Thermoelectric (TE) materials, which convert thermal energy to electrical power, are critical for these devices, yet achieving both high TE performance and mechanical flexibility remains a significant challenge. Here, we investigate the TE properties of the penta-InP5 monolayer, a novel two-dimensional material, using first-principles calculations integrated with machine learning potentials. We show that penta-InP5 achieves a remarkable figure of merit, with values of 0.51 and 0.42 for hole and electron doping, respectively, at room temperature. Additionally, the material demonstrates remarkable mechanical properties, with an in-plane stiffness of 52 N/m and a fracture strain of 23% for the uniaxial strain. These findings suggest that penta-InP5 is a promising candidate for flexible, high-performance TE applications, advancing the potential of wearable energy-harvesting devices.

Article Details

Volume / Issue Vol. 137, Issue 8
Published February 28, 2025
ISSN 0021-8979
Publisher American Institute of Physics

Journal Info

Journal of Applied Physics

American Institute of Physics

ISSN: 0021-8979 Physical Sciences

Authors (5)

N

Nguyen Thanh Tien

P

Pham Thi Bich Thao

College of Natural Sciences, Can Tho University 1 , 3-2 Road, Can Tho City 94000,

D

Duy Khanh Nguyen

Laboratory for Computational Physics, Institute for Computational Science and Artificial Intelligence, Van Lang University 2 , Ho Chi Minh City,

L

Le Nhat Thanh

College of Natural Sciences, Can Tho University 1 , 3-2 Road, Can Tho City 94000,

V

Vo Khuong Dien

College of Natural Sciences, Can Tho University 1 , 3-2 Road, Can Tho City 94000,