Dual Band Optimization and Defect Engineering Enable Ultrahigh Thermoelectric Performance in Filled Skutterudites
ABSTRACT Skutterudites are promising thermoelectric candidates for medium‐temperature energy conversion owing to their excellent mechanical strength and thermal stability, yet their practical deployment is hindered by their moderate thermoelectric performance. Herein, we report a synergistic optimization of the electronic band structure and phonon scattering in Yb‐filled skutterudites through simultaneous indium filling and Te doping. This dual strategy delivers an exceptional figure of merit ( zT ) of ∼1.72 at 773 K, arising from a high power factor of 5.63 mW m −1 K −2 and a markedly suppressed total thermal conductivity of 2.23 W m −1 K −1 . First‐principles calculations reveal that In filling and Te doping cooperatively converge electronic bands, thereby enhancing electrical transport, while advanced electron microscopy uncovers the formation YbTe nanoprecipitates and associated lattice distortions that intensify phonon scattering. A 7‐pair single‐stage thermoelectric device fabricated from the optimized materials achieves an ultra‐high energy conversion efficiency of 8.2% under a temperature difference of 380 K. These findings establish a clear structure‐property‐performance correlation and provide a versatile strategy for propelling skutterudites toward high‐efficiency, device‐level applications.
Authors
- Huangshui Ma (ORCID: https://orcid.org/0000-0002-5461-4361)
- Xuri Rao
- Pingan Song
- Yu Yin
- Rui‐Heng Li
- Xiao‐Bo Tan
- Ran Ang
- Jiaqing He
- Jianrui Wang
- Min Hong
- Fan Feng
Institutions
- University of Southern Queensland (AU)
- Sichuan University (CN)
- Southern University of Science and Technology (CN)
- Chengdu University of Technology (CN)
Publication Details
- Journal
- Advanced Energy Materials
- Published
- 2026-02-12
- DOI
- https://doi.org/10.1002/aenm.202506357
- Primary Topic
- Advanced Thermoelectric Materials and Devices
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Computational Infrastructure
- University of Southern Queensland
- Sichuan University
- National Key Research and Development Program of China
- Guangxi Key Research and Development Program
- National Cancer Institute