Evidence map›Paper›PMID 34843227›Full record

ArticleACS nano2021

Structure and Surface Passivation of Ultrathin Cesium Lead Halide Nanoplatelets Revealed by Multilayer Diffraction.

Stefano Toso, Dmitry Baranov, Cinzia Giannini, Liberato Manna

Abstract read
In one paragraph

Article in ACS nano, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. One-dimensional CsPbBrNature communications · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Cooling-Induced Order-Disorder Phase Transition in CsPbBrAdvanced materials (Deerfield Beach, Fla.) · 2025
    Article
  10. Article
  11. Article
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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.

Stefano TosoNanochemistry Department, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy.
Dmitry BaranovNanochemistry Department, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy.ORCID https://orcid.org/0000-0001-6439-8132
Cinzia GianniniIstituto di Cristallografia - Consiglio Nazionale delle Ricerche (IC-CNR), Via Amendola 122/O, I-70126 Bari, Italy.ORCID https://orcid.org/0000-0003-0983-2885
Liberato MannaNanochemistry Department, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy.ORCID https://orcid.org/0000-0003-4386-7985

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The research on two-dimensional colloidal semiconductors has received a boost from the emergence of ultrathin lead halide perovskite nanoplatelets. While the optical properties of these materials have been widely investigated, their accurate structural and compositional characterization is still challenging. Here, we exploited the natural tendency of the platelets to stack into highly ordered films, which can be treated as single crystals made of alternating layers of organic ligands and inorganic nanoplatelets, to investigate their structure by multilayer diffraction. Using X-ray diffraction alone, this method allowed us to reveal the structure of ∼12 Å thick Cs-Pb-Br perovskite and ∼25 Å thick Cs-Pb-I-Cl Ruddlesden-Popper nanoplatelets by precisely measuring their thickness, stoichiometry, surface passivation type and coverage, as well as deviations from the crystal structures of the corresponding bulk materials. It is noteworthy that a single, readily available experimental technique, coupled with proper modeling, provides access to such detailed structural and compositional information.

Indexed as

lead halide perovskitemultilayer diffractionnanoplateletRuddlesden−PopperstructuresurfaceX-ray

Identifiers

PMID34843227
PMCPMC8717630

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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.