Evidence map›Paper›PMID 40323160›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

General Screening Rules and Segmented Optimization Strategy for Efficient Thermoelectric Devices Validated by Mg

Kai-Yu Yang, Xiaoyuan Li, Yuanxin Jiang, Liangliang Wang, Kai Guo, Lei Miao, Junliang Chen, Jiye Zhang, Lin Li, Yusong Du and 3 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Advances in Magnesium-Based Thermoelectrics: A Critical Review.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Kai-Yu YangSchool of Materials Science and Engineering, Guilin University of Electronic Technology, Guilin, 541004, China.
Xiaoyuan LiSchool of Materials Science and Engineering, Guilin University of Electronic Technology, Guilin, 541004, China.
Yuanxin JiangSchool of Physics and Materials Science, Guangzhou University, Guangzhou, 510006, China.
Liangliang WangSchool of Physics and Materials Science, Guangzhou University, Guangzhou, 510006, China.
Kai GuoSchool of Physics and Materials Science, Guangzhou University, Guangzhou, 510006, China.ORCID https://orcid.org/0000-0002-8486-4185
Lei MiaoGuangxi Novel Battery Materials Research Center of Engineering Technology, State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, School of Physical Science and Technology, Guangxi University, Nanning, 530004, China.
Junliang ChenSchool of Materials Science and Engineering, Guilin University of Electronic Technology, Guilin, 541004, China.
Jiye ZhangSchool of Materials Science and Engineering, Shanghai University, Shanghai, 200444, China.
Lin LiSchool of Materials Science and Engineering, Guilin University of Electronic Technology, Guilin, 541004, China.
Yusong DuSchool of Materials Science and Engineering, Guilin University of Electronic Technology, Guilin, 541004, China.
Guang-Hui RaoSchool of Materials Science and Engineering, Guilin University of Electronic Technology, Guilin, 541004, China.
Jun LuoInterdisciplinary Materials Research Center, School of Materials Science and Engineering, Tongji University, Shanghai, 201804, China.
Jing-Tai ZhaoSchool of Materials Science and Engineering, Guilin University of Electronic Technology, Guilin, 541004, China.

Funding

Bureau of Education of Guangzhou 202255464Central Government Guided Local Science and Technology Development Fund Project ZY22096009Foundation for Guangxi Bagui scholarsGuangxi Science and Technology Base and Talent Special Project 2020AC18005National Natural Science Foundation of China U21A2054
6 · The paper itself

Abstract

Segmentation is a widely adopted strategy to enhance the efficiency of medium- and high-temperature thermoelectric devices by capitalizing on the distinct properties of materials across various temperature ranges. Establishing a highly compatible matching relationship is crucial for maximizing conversion efficiency. In this study, the concepts of materials' compatibility factor and relative current density into the screening process are emphasized for universal adaptability. The effectiveness and practicality of the theoretical model for optimal segmented combinations are validated through COMSOL finite element simulations and experimental results. A segmented thermoelectric power generation device is constructed that integrates the environmentally friendly n-type Mg

Indexed as

compatibility factormatching relationrelative current densitysegmented thermoelectric devicethermoelectric conversion efficiency

Identifiers

PMID40323160
PMCPMC12279248

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.