Accurate Measurements and Error Analysis of Bi<sub>2</sub>Te<sub>3</sub>-Based Low-Temperature Thermoelectrics

Abstract The accurate characterization of thermoelectric properties at low temperatures is crucial for the development of high-performance thermoelectric cooling devices. While measurement errors of thermoelectric properties at temperatures above room temperature have been extensively discussed, there is a lack of standard measurement protocols and error analyses for low-temperature transport properties. In this study, we present a measurement system capable of characterizing all three key thermoelectric parameters, i.e., Seebeck coefficient, electrical conductivity, and thermal conductivity, for a single sample across a temperature range of 10 K to 300 K. We investigated six representative commercial Bi 2 Te 3 -based samples (three N-type and three P-type). Using an error propagation model, we systematically analyzed the measurement uncertainties of the three intrinsic parameters and the resulting thermoelectric figure of merit. Our findings reveal that measurement uncertainties for both N-type and P-type Bi 2 Te 3 -based materials can be effectively maintained below 5% in the temperature range of 40 K to 300 K. However, the uncertainties increase to over 10% at lower temperatures, primarily due to the relatively smaller values of electrical resistivity and Seebeck coefficients in this regime. This work establishes foundational data for Bi 2 Te 3 -based thermoelectric materials and provides a framework for broader investigations of advanced low-temperature thermoelectrics.

Authors

Publication Details

Journal
Chinese Physics Letters
Published
2025-04-16
DOI
https://doi.org/10.1088/0256-307x/42/5/056304
Citations
4
Primary Topic
Advanced Thermoelectric Materials and Devices
Type
article
Field-Weighted Citation Impact
2.07
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accurate Measurements and Error Analysis of Bi2Te3-Based Low-Temperature Thermoelectrics

Yixuan Ge, Chao Xin, Wenjie Liang, Tianbo Lu et al.
4 citations
Chinese Physics Letters
Advanced Thermoelectric Materials and Devices
2.07
article

Accurate Measurements and Error Analysis of Bi2Te3-Based Low-Temperature Thermoelectrics

Yixuan Ge, Chao Xin, Wenjie Liang, Tianbo Lu, Wei Du, Linhan Wang, Jie Zhang, Xiaohan Qin, Guodong Li, Yongjun Cao, Minhua Huang, Huaizhou Zhao
article en
4 citations

Abstract

Abstract The accurate characterization of thermoelectric properties at low temperatures is crucial for the development of high-performance thermoelectric cooling devices. While measurement errors of thermoelectric properties at temperatures above room temperature have been extensively discussed, there is a lack of standard measurement protocols and error analyses for low-temperature transport properties. In this study, we present a measurement system capable of characterizing all three key thermoelectric parameters, i.e., Seebeck coefficient, electrical conductivity, and thermal conductivity, for a single sample across a temperature range of 10 K to 300 K. We investigated six representative commercial Bi 2 Te 3 -based samples (three N-type and three P-type). Using an error propagation model, we systematically analyzed the measurement uncertainties of the three intrinsic parameters and the resulting thermoelectric figure of merit. Our findings reveal that measurement uncertainties for both N-type and P-type Bi 2 Te 3 -based materials can be effectively maintained below 5% in the temperature range of 40 K to 300 K. However, the uncertainties increase to over 10% at lower temperatures, primarily due to the relatively smaller values of electrical resistivity and Seebeck coefficients in this regime. This work establishes foundational data for Bi 2 Te 3 -based thermoelectric materials and provides a framework for broader investigations of advanced low-temperature thermoelectrics.

Chinese Physics LettersVol. 42(5)
Openalex Percentile: Top 14%
Advanced Thermoelectric Materials and Devices
2.07
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.