Evidence map›Paper›PMID 40655129›Full record

ArticleSmall science2025

New Directions for Thermoelectrics: A Roadmap from High-Throughput Materials Discovery to Advanced Device Manufacturing.

Kaidong Song, Ali Newaz Mohammad Tanvir, Md Omarsany Bappy, Yanliang Zhang

Abstract read
In one paragraph

Article in Small science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. On-Chip Thermoelectric Devices Based on Standard Silicon Processing.Small (Weinheim an der Bergstrasse, Germany) · 2024
    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

4 authors.

Kaidong SongDepartment of Aerospace and Mechanical Engineering University of Notre Dame Notre Dame IN 46556 USA.
Ali Newaz Mohammad TanvirDepartment of Aerospace and Mechanical Engineering University of Notre Dame Notre Dame IN 46556 USA.ORCID https://orcid.org/0000-0002-3852-1958
Md Omarsany BappyDepartment of Aerospace and Mechanical Engineering University of Notre Dame Notre Dame IN 46556 USA.
Yanliang ZhangDepartment of Aerospace and Mechanical Engineering University of Notre Dame Notre Dame IN 46556 USA.ORCID https://orcid.org/0000-0001-7423-8001

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thermoelectric materials, which can convert waste heat into electricity or act as solid-state Peltier coolers, are emerging as key technologies to address global energy shortages and environmental sustainability. However, discovering materials with high thermoelectric conversion efficiency is a complex and slow process. The emerging field of high-throughput material discovery demonstrates its potential to accelerate the development of new thermoelectric materials combining high efficiency and low cost. The synergistic integration of high-throughput material processing and characterization techniques with machine learning algorithms can form an efficient closed-loop process to generate and analyze broad datasets to discover new thermoelectric materials with unprecedented performances. Meanwhile, the recent development of advanced manufacturing methods provides exciting opportunities to realize scalable, low-cost, and energy-efficient fabrication of thermoelectric devices. This review provides an overview of recent advances in discovering thermoelectric materials using high-throughput methods, including processing, characterization, and screening. Advanced manufacturing methods of thermoelectric devices are also introduced to realize the broad impacts of thermoelectric materials in power generation and solid-state cooling. In the end, this article also discusses the future research prospects and directions.

Indexed as

advanced manufacturinghigh‐throughput materials discoveriesmachine learningthermoelectric device manufacturingthermoelectric materials

Identifiers

PMID40655129
PMCPMC12245080

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.