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Reduced dimensionality has long been regarded as an important strategy for increasing thermoelectric performance, for example in superlattices and other engineered structures. Here we point out and illustrate by examples that three…

Materials Science · Physics 2015-06-12 David Parker , Xin Chen , David J. Singh

An efficient approach to improve the thermoelectric performance of materials is to converge their electronic bands, which is known as band engineering. In this regard, lots of effort have been made to further improve the thermoelectric…

Systemic optimization of thermoelectric materials is arduous due to their conflicting electrical and thermal properties. A strategy based on Design of Experiments and machine learning is developed to optimize the thermoelectric efficiency…

The true power of computational research typically can lay in either what it accomplishes or what it enables others to accomplish. In this work, both avenues are simultaneously embraced across several distinct efforts existing at three…

Materials Science · Physics 2024-11-06 Adam M. Krajewski

Thermal energy can be directly converted to electrical energy as a result of thermoelectric effects. Because this conversion realises clean energy technology, such as waste heat recovery and energy harvesting, substantial efforts have been…

Materials Science · Physics 2023-03-30 Byungki Ryu , Jaywan Chung , SuDong Park

Parameterized tight-binding models fit to first principles calculations can provide an efficient and accurate quantum mechanical method for predicting properties of molecules and solids. However, well-tested parameter sets are generally…

Materials Science · Physics 2023-04-28 Kevin F. Garrity , Kamal Choudhary

Thermoelectric effects, measured by the Seebeck coefficients, refer to the phenomena in which a temperature difference or gradient imposed across a thermoelectric material induces an electrical potential difference or gradient, and vice…

Materials Science · Physics 2018-12-05 Yi Wang , Yong-Jie Hu , Shun-Li Shang , Bi-Cheng Zhou , Zi-Kui Liu , Long-Qing Chen

We obtained the analytical expression for the effective thermoelectric properties and dimensionless figure of merit of a composite with interfacial electrical and thermal resistances using a micromechanics-based homogenisation. For the…

Materials Science · Physics 2018-12-11 Jiyoung Jung , Sangryun Lee , Byungki Ryu , Seunghwa Ryu

We revisit the classic thermodynamic problem of maximum work extraction from two arbitrary sized hot and cold reservoirs, modelled as perfect gases. Assuming ignorance about the extent to which the process has advanced, which implies an…

Statistical Mechanics · Physics 2015-06-19 Ramandeep S. Johal

SnTe is a potential thermoelectric material in the mid temperature range. Detailed techniques to enhance the figure of merit by increasing the Power Factor, and reducing thermal conductivity, of SnTe-based TE materials are discussed. The…

Materials Science · Physics 2026-04-14 Diptasikha Das , Kartick Malik

Thermoelectric (TE) materials can directly convert heat into electrical energy. However, they sustain costly production procedures and batch-to-batch performance variations. Therefore, developing scalable synthetic techniques for…

Thermoelectricity is the direct conversion of temperature gradient to electric voltage, and vice-versa. There are several potential applications of thermoelectricity, ranging from clean noiseless cooling, to waste-power harvesting in…

Materials Science · Physics 2014-03-18 Yehea Ismail , Ahmed Alaskalany

Materials underpin modern technologies, from energy harvesting, storage, and conversion to information and communication technologies. Their functionality is often governed by the interplay between competing phases, as thermodynamic…

Materials Science · Physics 2026-04-29 Lorenzo Bastonero , Gabriel Joalland , Chiara Cignarella , Lorenzo Monacelli , Nicola Marzari

Realistic thermoelectric modeling and simulation tools are needed to explain the experiments and for device design. In this paper, we present a simple computational technique to make use of rigorous band structure calculations in…

Mesoscale and Nanoscale Physics · Physics 2011-10-12 Shuaib Salamat , Abhijeet Paul , Mehdi Salmani-Jelodar , Changwook Jeong , Gerhard Klimeck , Mark Lundstrom

An additive manufacturing (AM) process, like laser powder bed fusion, allows for the fabrication of objects by spreading and melting powder in layers until a freeform part shape is created. In order to improve the properties of the material…

Machine Learning · Computer Science 2023-03-29 Ankita Agarwal , Tanvi Banerjee , Joy Gockel , Saniya LeBlanc , Joe Walker , John Middendorf

Thermoelectric materials are opening a promising pathway to address energy conversion issues governed by a competition between thermal and electronic transport. Improving the efficiency is a difficult task, a challenge that requires new…

Materials Science · Physics 2017-09-13 G. Bouzerar , S. Thébaud , Ch. Adessi , R. Debord , M. Apreutesei , R. Bachelet , S. Pailhès

The discovery and optimization of high-performance materials is the basis for advancing energy conversion technologies. To understand composition-property relationships, all available data sources should be leveraged: experimental results,…

Materials Science · Physics 2025-03-03 Lei Zhang , Markus Stricker

This is the first report on the enhanced thermoelectric (TE) properties of novel Bi2S3-Bi nanocomposites synthesized using a one-step polyol method at different reaction temperatures (TRe) and time. They are well-characterized as…

There is currently substantial effort being invested into creating efficient thermoelectric nanowires based on topological insulator chalcogenide-type materials. A key premise of these efforts is the assumption that the generally good…

Reliable and robust methods of predicting the crystal structure of a compound, based only on its chemical composition, is crucial to the study of materials and their applications. Despite considerable ongoing research efforts, crystal…

Materials Science · Physics 2017-07-26 Qi-Jun Hong , Joseph Yasi , Axel van de Walle