Evidence map›Paper›PMID 42489734›Full record

ArticleMaterials horizons2026

Non-equilibrium crystallization and spatial fingerprints in flash IR-annealed halide perovskite films.

Ornella Vaccarelli, Tiziano Agostino Caldara, Christophe Gisler, Jean Hennebert, Sandy Sánchez Alonso

Abstract read
In one paragraph

Article in Materials horizons, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ornella VaccarelliInstitute of AI and Complex Systems (iCoSys), School of Engineering and Architecture of Fribourg (HEIA-FR), University of Applied Sciences and Arts Western Switzerland (HES-SO), 1700, Fribourg, Switzerland.
Tiziano Agostino CaldaraLaboratory of Photonics and Interfaces, Institute of Chemistry and Chemical Engineering, École Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland.
Christophe GislerInstitute of AI and Complex Systems (iCoSys), School of Engineering and Architecture of Fribourg (HEIA-FR), University of Applied Sciences and Arts Western Switzerland (HES-SO), 1700, Fribourg, Switzerland.
Jean HennebertInstitute of AI and Complex Systems (iCoSys), School of Engineering and Architecture of Fribourg (HEIA-FR), University of Applied Sciences and Arts Western Switzerland (HES-SO), 1700, Fribourg, Switzerland.
Sandy Sánchez AlonsoInstitute of Smart and Secured Systems (iSIS), School of Engineering and Architecture of Fribourg (HEIA-FR), University of Applied Sciences and Arts Western Switzerland (HES-SO), 1700, Fribourg, Switzerland. sandy.sanchez@hefr.ch.ORCID http://orcid.org/0000-0003-0167-5790

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metal-halide perovskite solar cells combine high power-conversion efficiencies with solution processability, yet scalable fabrication remains limited by incomplete control over crystallization pathways and the resulting film heterogeneity. Under flash infrared annealing (FIRA), millisecond photonic pulses drive strongly non-equilibrium nucleation and growth, producing spherulitic microstructures whose final geometry stores measurable comparative signatures of the underlying crystallization pathway. Here, we establish a segmentation-based framework that converts bright-field microscopy of FIRA-processed films into quantitative comparative descriptors of grain morphology, video-anchored effective kinetics, and spatial microstructural fingerprints, providing a practical route to analyze crystallization under manufacturing-relevant rapid-processing conditions. Using time-resolved crystallization videos of pristine FAPI and FAPI-TEMPO together with a larger static microscopy dataset of roughly 3000 images from about 100 processed films, we quantify how additive chemistry reorganizes crystallization across both dynamic and end-state image populations. The workflow combines semi-supervised instance segmentation and mask-quality classification with grain-level morphology extraction and video-anchored kinetic reconstruction, with the video data providing the kinetic anchor and the static dataset providing the principal statistical support. From a curated library of more than 420 000 validated spherulites (180 545 for FAPI and 241 619 for FAPI-TEMPO), we derive effective growth-rate distributions, transformed-fraction curves, empirical kinetic descriptors, and spatial signatures based on texture entropy, defect loading, shape regularity, radial profiles, and crowding metrics. We find that TEMPO delays and narrows the dominant crystallization burst, reduces grain-size dispersion (median area reduced by 34%,

Identifiers

PMID42489734
PMCPMC13394456

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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.