High-throughput screening of quaternary compounds and new insight for excellent thermoelectric performance
Aijun Hong, Yuxia Tang, and Junming Liu

TL;DR
This study uses high-throughput screening of over 3000 quaternary compounds to identify promising thermoelectric materials, revealing that coexisting quasi-Dirac states, heavy fermions, and phonon hybridization enhance performance.
Contribution
It introduces a comprehensive data-mining approach for thermoelectric materials and uncovers new electronic and phononic mechanisms for improved thermoelectric efficiency.
Findings
Enhanced thermoelectric performance linked to quasi-Dirac and heavy fermions.
Strong optical-acoustic phonon hybridization correlates with better thermoelectric properties.
High-throughput screening effectively identifies promising thermoelectric compounds.
Abstract
It is well known that the high electric conductivity, large Seebeck coefficient, and low thermal conductivity are preferred for enhancing thermoelectric performance, but unfortunately, these properties are strongly inter-correlated with no rational scenario for their efficient decoupling. This big dilemma for thermoelectric research appeals for alternative strategic solutions, while the high-throughput screening is one of them. In this work, we start from total 3136 real electronic structures of the huge X2YZM4 quaternary compound family and perform the high-throughput searching in terms of enhanced thermoelectric properties. The comprehensive data-mining allows an evaluation of the electronic and phonon characteristics of those promising thermoelectric materials. More importantly, a new insight that the enhanced thermoelectric performance benefits substantially from the coexisting…
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Taxonomy
TopicsAdvanced Thermoelectric Materials and Devices · 2D Materials and Applications · Machine Learning in Materials Science
