Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 903

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Enhancement of Thermoelectric Figure‐of‐Merit by a Bulk Nanostructuring Approach

Lan, Yucheng, Minnich, Austin Jerome, Chen, Gang, Ren, Zhifeng·2010·Advanced Functional Materials

Abstract

Recently a significant figure‐of‐merit (ZT) improvement in the most‐studied existing thermoelectric materials has been achieved by creating nanograins and nanostructures in the grains using the combination of high‐energy ball milling and a direct‐current‐induced hot‐press process. Thermoelectric transport measurements, coupled with microstructure studies and theoretical modeling, show that the ZT improvement is the result of low lattice thermal conductivity due to the increased phonon scattering by grain boundaries and structural defects. In this article, the synthesis process and the relationship between the microstructures and the thermoelectric properties of the nanostructured thermoelectric bulk materials with an enhanced ZT value are reviewed. It is expected that the nanostructured materials described here will be useful for a variety of applications such as waste heat recovery, solar energy conversion, and environmentally friendly refrigeration.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/adfm.200901512

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Cited by

See all 903

Metadata

Authors
Lan, Y., Minnich, A. J., Chen, G., & Ren, Z.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2010-01-27
Volume
20
Issue
3
Pages
357-376
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W2110830581
Cited by
903
References
2
FWCI
19.30
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Enhancement of Thermoelectric Figure‐of‐Merit by a Bulk Nanostructuring Approach. https://app.cochat.ai/papers/10.1002/adfm.200901512
The paper
Lan, Y., Minnich, A. J., Chen, G., & Ren, Z. (2010). Enhancement of Thermoelectric Figure‐of‐Merit by a Bulk Nanostructuring Approach. Advanced Functional Materials. https://doi.org/10.1002/adfm.200901512

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.