Performance Robustness Navigates the Development of Natural Mineral‐Based Thermoelectrics

ABSTRACT Current high‐performance thermoelectric (TE) materials commonly require high‐purity raw materials, delicately designed composition, and elaborate synthesis procedures. Herein, based on a high‐throughput theoretical investigation, we propose a general screen principle of searching compounds with large effective mass and low lattice thermal conductivity to realize robust TE performance upon impurities and defects, which substantially save the energy and time consumptions for large‐scale applications. Taking Cu 12 Sb 4 S 13 , which is predicted to exhibit the strongest performance robustness, as a prototypical example, we demonstrate that the composition and microstructure discrepancies only lead to slight fluctuation on its zT values. Using abundant stibnite and tetrahedrite minerals combining with industrial grade Cu and S powder (99%) as raw materials, a maximum zT value of ∼0.8 at 723 K and a ZT ave of 0.5 in the temperature range of 323–723 K can be achieved dispensing with elaborate chemical doping procedure. Comparing with those prepared using analytical‐grade pure elements, the TE performance can be remained by 80%, while the energy consumption is sharply reduced by more than 85%. These findings unveil the critical role and physical origin of performance robustness in TEs, which guides the development of natural mineral‐based compounds for practical TE applications.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2026-03-21
DOI
https://doi.org/10.1002/adfm.202532056
Primary Topic
Advanced Thermoelectric Materials and Devices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance Robustness Navigates the Development of Natural Mineral‐Based Thermoelectrics

Z. C. Zhou, Yanci Yan, Xin Lü, Xiao Ji et al.
Advanced Functional Materials
Advanced Thermoelectric Materials and Devices
article

Performance Robustness Navigates the Development of Natural Mineral‐Based Thermoelectrics

Z. C. Zhou, Yanci Yan, Xin Lü, Xiao Ji, Zhihua Zhou, Chenghao Gao, Guoyu Wang, Qihong Xiong, Bin Zhang, Yun Zhou, Hong Wu, Peng Chen, Yaling Mo, Guang Han
article en

Abstract

ABSTRACT Current high‐performance thermoelectric (TE) materials commonly require high‐purity raw materials, delicately designed composition, and elaborate synthesis procedures. Herein, based on a high‐throughput theoretical investigation, we propose a general screen principle of searching compounds with large effective mass and low lattice thermal conductivity to realize robust TE performance upon impurities and defects, which substantially save the energy and time consumptions for large‐scale applications. Taking Cu 12 Sb 4 S 13 , which is predicted to exhibit the strongest performance robustness, as a prototypical example, we demonstrate that the composition and microstructure discrepancies only lead to slight fluctuation on its zT values. Using abundant stibnite and tetrahedrite minerals combining with industrial grade Cu and S powder (99%) as raw materials, a maximum zT value of ∼0.8 at 723 K and a ZT ave of 0.5 in the temperature range of 323–723 K can be achieved dispensing with elaborate chemical doping procedure. Comparing with those prepared using analytical‐grade pure elements, the TE performance can be remained by 80%, while the energy consumption is sharply reduced by more than 85%. These findings unveil the critical role and physical origin of performance robustness in TEs, which guides the development of natural mineral‐based compounds for practical TE applications.

Advanced Functional Materials
Chongqing University of Posts and Telecommunications (CN), Chongqing University (CN), Shanghai Maritime University (CN)
Affordable and clean energy
Openalex Percentile: Top 14%
Advanced Thermoelectric Materials and Devices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.