Bismuth/Tin Bi58/Sn42 - Material Information

Bi-Sn
December 3, 2024
Bismuth/Tin Bi58/Sn42 - Material Information

Bismuth Telluride (Bi2Te3) is a renowned semiconductor material that remains the benchmark for thermoelectric applications near room temperature. Its exceptional ability to directly convert heat into electricity, combined with tunable electronic and structural properties, makes Bi2Te3 essential for solid-state cooling, waste heat recovery, and microelectronic thermal management systems.

Material Overview

Bi2Te3 crystallizes in a rhombohedral structure (space group R̄3m) composed of quintuple layers held together by weak van der Waals forces. This structure facilitates anisotropic electron and phonon transport, resulting in high Seebeck coefficients and low lattice thermal conductivity. The material exhibits a narrow bandgap of about 0.15–0.3 eV and can be tailored as p-type or n-type depending on doping. In recent studies, Ahmad and Almutairi (2023) enhanced the thermoelectric figure of merit (ZT) of Bi2Te3 by integrating multiwall carbon nanotubes (MWCNTs), achieving reduced thermal conductivity and increased electrical conductivity via synergistic phonon scattering and quantum confinement effects. Similarly, Waqas et al. (2023) demonstrated that rare-earth substitution (La-doped Bi2Te3) effectively improves charge carrier concentration and decreases lattice thermal conductivity, yielding superior thermoelectric efficiency. Thin-film optimization studies (Nguyen et al., 2024) further reveal that selenium doping (Bi2Te3−xSex) enhances Seebeck coefficients up to 400 µV/K in 30 nm ultra-thin films, highlighting the potential of Bi2Te3-based materials in next-generation nanoscale devices.

Applications and Advantages

Bismuth Telluride remains the leading thermoelectric material for Peltier coolers, power generators, and infrared sensors. Its optimal ZT values (approaching 1.2 at 300 K) enable efficient energy harvesting from small temperature gradients. Due to its low toxicity, mechanical stability, and reproducible doping control, Bi2Te3 is favored for integrated chip cooling, wearable thermoelectric generators, and spacecraft thermal control. Computational studies by Hajji et al. (2018) showed that applying compressive strain enhances the bandgap and reduces thermal conductivity, further improving ZT performance. Ongoing nanostructuring strategies — including thin-film fabrication, heterostructure engineering, and carbon nanotube reinforcement — continue to expand Bi2Te3’s utility across microelectronic and renewable energy domains.

Goodfellow Availability

Goodfellow offers high-purity Bismuth Telluride (Bi2Te3) suitable for thermoelectric, electronic, and materials research applications. Custom dimensions, powder sizes, and crystalline forms are available upon request for laboratory or industrial development projects.

Explore Bismuth Telluride Bi2Te3 – Material Information and other advanced materials in Goodfellow’s online catalogue: Goodfellow product finder.

References

  • Ahmad, K., & Almutairi, Z. (2023). Enhanced thermoelectric properties of bismuth telluride (Bi2Te3) and multiwall carbon nanotube (MWCNT) composites. Materials Today Communications, 36, 106228. https://doi.org/10.1016/j.mtcomm.2023.106228
  • Waqas, M., Shakoor, A., Nadeem, M., Nowsherwan, G. A., Ali, A., Aamir, M. F., Bhatti, S. Y., Bilal, A., & Rehman, A. U. (2023). Unveiling transport properties in rare-earth-substituted nanostructured bismuth telluride for thermoelectric application. Zeitschrift für Naturforschung A. https://doi.org/10.1515/zna-2023-0162
  • Nguyen, K. T., Dong, L., Hoang, D. T., Bui, T., Chu, S. S., Nguyen-Tran, T., Hoang, C. H., & Nguyen, Q. H. (2024). Optimization and characterization of thermoelectric properties in selenium-doped bismuth telluride ultra-thin films. arXiv Preprint. https://doi.org/10.48550/arxiv.2410.20705
  • Hajji, M., Absike, H., Labrim, H., Ez-Zahraouy, H., Benaissa, M., & Benyoussef, A. (2018). Strain effects on the electronic and thermoelectric properties of Bi2Te3: A first-principles study. Computational Condensed Matter, 17, e00299. https://doi.org/10.1016/j.cocom.2018.e00299
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