Evidence map›Paper›PMID 41799495›Full record

ReviewMRS bulletin2026

Structure and composition of grain boundaries and their impact on functional properties of energy materials.

Oana Cojocaru-Mirédin, Elisa Wade, Yuan Yu, Jian Luo

Abstract readReview
In one paragraph

Review in MRS bulletin, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Oana Cojocaru-MirédinDepartment of Sustainable Systems Engineering (INATECH), University of Freiburg, 79110 Freiburg, Germany.ORCID 0000-0001-6543-203X
Elisa WadeDepartment of Sustainable Systems Engineering (INATECH), University of Freiburg, 79110 Freiburg, Germany.
Yuan YuInstitute of Physics (IA), RWTH Aachen University, 52056 Aachen, Germany.
Jian LuoAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article explores the impact of grain boundary structures and compositions on the functional properties of various materials for photovoltaics, batteries, and other energy-related applications. Examples of correlative microscopy studies highlight the potential to discover structure-property relationships at grain boundaries, essential for the design of energy devices to achieve superior performance. A grain boundary transition that promotes grain growth and reduces the boundary resistance in solid electrolytes is given as an example. A key focus will be on transport phenomena at grain boundaries, including mass, thermal, electrical, and ionic transport mechanisms. These transport phenomena are directly correlated with the charge defects that lead to a buildup of electric charges and potential barriers at the grain boundaries. In addition, applied electric fields can also induce boundary transitions that can affect grain boundary transport and other properties. Finally, we demonstrate that these potential barrier heights can be tuned by modulating the chemical composition, structure, and carrier concentration of the grain boundaries. Graphical abstract: Obtaining grain boundaries (GBs) with superior properties based on the correlation between the structure, composition, and electronic properties at the GB level. Supplementary Information: The online version contains supplementary material available at 10.1557/s43577-025-01038-y.

Indexed as

Atomic structureAtom probe tomographyEnergy materialsGrain boundaryGrain-boundary functional propertiesNanoscale characterization

Identifiers

PMID41799495
PMCPMC12957157

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.