Machine-Learning-Assisted Development and Theoretical Consideration for the Al2Fe3Si3 Thermoelectric Material
Author(s) -
Zhufeng Hou,
Yoshiki Takagiwa,
Yoshikazu Shinohara,
Yibin Xu,
Koji Tsuda
Publication year - 2019
Publication title -
acs applied materials and interfaces
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.535
H-Index - 228
eISSN - 1944-8252
pISSN - 1944-8244
DOI - 10.1021/acsami.9b02381
Subject(s) - materials science , thermoelectric effect , seebeck coefficient , thermoelectric materials , thermal conductivity , power factor , phonon , atmospheric temperature range , spark plasma sintering , intermetallic , thermodynamics , analytical chemistry (journal) , condensed matter physics , power (physics) , composite material , microstructure , alloy , physics , chemistry , chromatography
Chemical composition alteration is a general strategy to optimize the thermoelectric properties of a thermoelectric material to achieve high-efficiency conversion of waste heat into electricity. Recent studies show that the Al 2 Fe 3 Si 3 intermetallic compound with a relatively high power factor of ∼700 μW m -1 K -2 at 400 K is promising for applications in low-cost and nontoxic thermoelectric devices. To accelerate the exploration of the thermoelectric properties of this material in a mid-temperature range and to enhance its power factor, a machine-learning method was employed herein to assist the synthesis of off-stoichiometric samples (namely, Al 23.5+ x Fe 36.5 Si 40- x ) of the Al 2 Fe 3 Si 3 compound by tuning the Al/Si ratio. The optimal Al/Si ratio for a high power factor in the mid-temperature range was found rapidly and efficiently, and the optimal ratio of the sample at x = 0.9 was found to increase the power factor at ∼510 K by about 40% with respect to that of the initial sample at x = 0.0. The possible mechanism for the enhanced power factor is discussed in terms of the precipitations of the metallic secondary phases in the Al 23.5+ x Fe 36.5 Si 40- x samples. Furthermore, the maximum achievable thermal conductivity of Al 2 Fe 3 Si 3 estimated by the Slack model is ∼10 W m -1 K -1 at the Debye temperature. An avoided-crossing behavior of the acoustic and the low-lying optical modes along several crystallographic directions is found in the phonon dispersion of Al 2 Fe 3 Si 3 calculated by ab initio density functional theory method. These preliminary results suggest that Al 2 Fe 3 Si 3 can have a low thermal conductivity. The calculated formation energies of point defects suggest that the antisite defects between Al and Si are likely to cause the Al and Si off-stoichiometries in Al 2 Fe 3 Si 3 . The theoretically obtained insight provides additional information for the further understanding of Al 2 Fe 3 Si 3 .
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