Evidence map›Paper›PMID 42146783›Full record

ArticleSmall science2026

Controlling Parasitic Nucleation in Methylamine-Treated Perovskite Films via Artificial Seeding and Phase-Field Simulations.

Emilia R Schütz, Martin Majewski, Olivier J J Ronsin, Jens Harting, Lukas Schmidt-Mende

Abstract read
In one paragraph

Article in Small science, 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. 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

5 authors.

Emilia R SchützDepartment of Physics University of Konstanz Konstanz Germany.ORCID https://orcid.org/0000-0002-4992-5237
Martin MajewskiHelmholtz Institute Erlangen-Nürnberg for Renewable Energy (HIERN) Forschungszentrum Jülich GmbH Erlangen-Nürnberg Germany.ORCID https://orcid.org/0009-0005-1387-0616
Olivier J J RonsinHelmholtz Institute Erlangen-Nürnberg for Renewable Energy (HIERN) Forschungszentrum Jülich GmbH Erlangen-Nürnberg Germany.ORCID https://orcid.org/0000-0002-3958-8636
Jens HartingHelmholtz Institute Erlangen-Nürnberg for Renewable Energy (HIERN) Forschungszentrum Jülich GmbH Erlangen-Nürnberg Germany.ORCID https://orcid.org/0000-0002-9200-6623
Lukas Schmidt-MendeDepartment of Physics University of Konstanz Konstanz Germany.ORCID https://orcid.org/0000-0001-6867-443X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large perovskite crystals with reduced defect density enable superior charge transport and stability. Therefore, controlling their nucleation and growth is key to advancing high-performance optoelectronic devices based on perovskite semiconductors. Through the combination of a methylamine treatment and artificial nucleation sites, we demonstrate for the first time the preparation of hundreds-of-micrometer large perovskite crystals in a predefined spatial pattern. Nonetheless, certain configurations may lead to unwanted parasitic nucleation. To predict and mitigate this effect, we employ phase-field simulations and develop an analytical model. Their predictive capability is demonstrated across three distinct material-substrate systems, enabling precise control over nucleation and subsequent crystal growth. Notably, the only material-specific input required is the nucleation density (i.e., the number of crystals nucleated per unit area on an unpatterned substrate). This generality makes the models broadly applicable to diverse material systems for achieving controlled 2D crystallization for improved optoelectronic device performance.

Indexed as

analytical modelmethylamine treatmentphase‐field simulationseeded growth

Identifiers

PMID42146783
PMCPMC13179044

What OpenQuestion holds

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LicenceCC BY
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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.