Evidence map›Paper›PMID 37705772›Full record

ArticleNanoscale advances2023

Hyperspectral mapping of nanoscale photophysics and degradation processes in hybrid perovskite at the single grain level.

Ethan J Taylor, Vasudevan Iyer, Bibek S Dhami, Clay Klein, Benjamin J Lawrie, Kannatassen Appavoo

Abstract read
In one paragraph

Article in Nanoscale advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Ethan J TaylorDepartment of Physics, University of Alabama at Birmingham 1300 University Blvd., Birmingham AL 35294 USA appavoo@uab.edu.
Vasudevan IyerCenter for Nanophase Materials Sciences, Oak Ridge National Laboratory Oak Ridge TN 37831 USA lawriebj@ornl.gov.
Bibek S DhamiDepartment of Physics, University of Alabama at Birmingham 1300 University Blvd., Birmingham AL 35294 USA appavoo@uab.edu.
Clay KleinClarion University 840 Wood St, Clarion PA 16214 USA.
Benjamin J LawrieCenter for Nanophase Materials Sciences, Oak Ridge National Laboratory Oak Ridge TN 37831 USA lawriebj@ornl.gov.ORCID https://orcid.org/0000-0003-1431-066X
Kannatassen AppavooDepartment of Physics, University of Alabama at Birmingham 1300 University Blvd., Birmingham AL 35294 USA appavoo@uab.edu.ORCID https://orcid.org/0000-0003-3222-6242

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With solar cells reaching 26.1% certified efficiency, hybrid perovskites are now the most efficient thin film photovoltaic material. Though substantial effort has focussed on synthesis approaches and device architectures to further improve perovskite-based solar cells, more work is needed to correlate physical properties of the underlying film structure with device performance. Here, using cathodoluminescence microscopy coupled with unsupervised machine learning, we quantify how nanoscale heterogeneity globally builds up within a large morphological grain of hybrid perovskite when exposed to extrinsic stimuli such as charge accumulation from electron beams or milder environmental factors like humidity. The converged electron-beam excitation allows us to map PbI

Identifiers

PMID37705772
PMCPMC10496886

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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.