Evidence map›Paper›PMID 40933915›Full record

ArticleJournal of materials chemistry. A2025

Discerning two-dimensional metal halide perovskite moieties using solid-state NMR fingerprints.

Federico Brivio, Nurgul Sarsembek, Giulia Martelli, Rolando Scotillo, Fabio Loprete, Filippo De Angelis, Daniele Cortecchia

Abstract read
In one paragraph

Article in Journal of materials chemistry. A, 2025. 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

7 authors.

Federico BrivioDepartment of Physics and Astronomy "Galileo Galilei", University of Padova Via Francesco Marzolo 8 35131 Padova Italy Federico.Brivio@unipd.it.ORCID https://orcid.org/0000-0001-6807-4872
Nurgul SarsembekDepartment of Industrial Chemistry "Toso Montanari", University of Bologna Via Piero Gobetti 85 40129 Bologna Italy Daniele.Cortecchia2@unibo.it.ORCID https://orcid.org/0009-0009-1599-8794
Giulia MartelliDepartment of Industrial Chemistry "Toso Montanari", University of Bologna Via Piero Gobetti 85 40129 Bologna Italy Daniele.Cortecchia2@unibo.it.ORCID https://orcid.org/0000-0001-7563-4954
Rolando ScotilloDepartment of Industrial Chemistry "Toso Montanari", University of Bologna Via Piero Gobetti 85 40129 Bologna Italy Daniele.Cortecchia2@unibo.it.
Fabio LopreteDepartment of Industrial Chemistry "Toso Montanari", University of Bologna Via Piero Gobetti 85 40129 Bologna Italy Daniele.Cortecchia2@unibo.it.
Filippo De AngelisDepartment of Chemistry, Biology and Biotechnology, University of Perugia, Computational Laboratory for Hybrid/Organic Photovoltaics (CLHYO), Istituto CNR di Scienze e Tecnologie Chimiche "Giulio Natta" (CNR-SCITEC) Via Elce di Sotto 8 06123 Perugia Italy.
Daniele CortecchiaDepartment of Industrial Chemistry "Toso Montanari", University of Bologna Via Piero Gobetti 85 40129 Bologna Italy Daniele.Cortecchia2@unibo.it.ORCID https://orcid.org/0000-0001-8623-9191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low-dimensional perovskites hold great promise for optoelectronic applications, spanning from photovoltaics to photonic platforms. The electronic properties of these soft hybrid semiconductors critically depend on their crystal structure, and the ability to clearly discern the connectivity of the inorganic component and the organic molecular packing is crucial to foster the development of improved materials. In this work, we apply solid-state NMR spectroscopy (ssNMR) to compare two perovskites with different structural motifs: the flat 〈100〉-oriented Ruddlesden-Popper (BA)

Identifiers

PMID40933915
PMCPMC12418761

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Registered trials

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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.