Paper Details

Abstract

Pentagonal two-dimensional (2D) materials, such as penta-XP$_5$ (X = Al, Ga, In), exhibit promising properties for thermoelectric and optoelectronic applications. However, their thermal transport characteristics remain underexplored due to the high computational cost of first-principles phonon calculations. In this study, we employ on-the-fly machine learning potentials (FMLP) combined with DFT to investigate the lattice thermal conductivity of penta-XP$_5$ monolayers. All structures are found to be thermodynamically and mechanically stable. At room temperature, thermal conductivities are predicted to be 6.09, 6.51, and 1.82 ~W/mK for AlP$_5$, GaP$_5$, and InP$_5$, respectively. These results highlight the potential of penta-XP$_5$ monolayers for nanoscale thermal management and thermoelectric applications.

Keywords
Machine learning first-principles calculations thermal conductivity 2D materials
Contact Information
Vo Khuong Dien (Corresponding Author)
FPT University, Can Tho Campus, An Binh Ward, Binh Thuy District, Can Tho 900000, Vietnam, Viet Nam
0793178768

All Authors (4)

Vo Khuong Dien C

Affiliation: FPT University, Can Tho Campus, An Binh Ward, Binh Thuy District, Can Tho 900000, Vietnam

Country: Viet Nam

Email: dienvk@fpt.edu.vn

Phone: 0793178768

Nguyen Thi Han

Affiliation: Department of Basic Sciences, Hung Yen University of Technology and Education, Hung Yen, Viet Nam

Country: Viet Nam

Email: nguyenthihan@utehy.edu.vn

Phone: 0984498730

Thai Van Thanh

Affiliation: Faculty of Basic Sciences, Vinh Long University of Technology and Education, No. 73, Nguyen Hue, Ward 1, Vinh Long city, Vinh Long province, Vietnam

Country: Viet Nam

Email: thanhtv@vlute.edu.vn

Phone: 0793178768

Nguyen Thanh Tien

Affiliation: College of Natural Sciences, Can Tho University, 3-2 Road, Can Tho City 94000, Vietnam

Country: Viet Nam

Email: nttien@ctu.edu.vn

Phone: 0907851285