Evidence map›Paper›PMID 33467502›Full record

ArticleNanomaterials (Basel, Switzerland)2021

Characterising Exciton Generation in Bulk-Heterojunction Organic Solar Cells.

Kiran Sreedhar Ram, Hooman Mehdizadeh-Rad, David Ompong, Daniel Dodzi Yao Setsoafia, Jai Singh

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2021. 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. Integration of Conductive SnONanomaterials (Basel, Switzerland) · 2025
    Article
  2. Article
  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

5 authors.

Kiran Sreedhar RamCollege of Engineering, IT and Environment, Purple 12, Charles Darwin University, Darwin, NT 0909, Australia.ORCID 0000-0003-2022-002X
Hooman Mehdizadeh-RadCollege of Engineering, IT and Environment, Purple 12, Charles Darwin University, Darwin, NT 0909, Australia.
David OmpongCollege of Engineering, IT and Environment, Purple 12, Charles Darwin University, Darwin, NT 0909, Australia.ORCID 0000-0001-8681-8142
Daniel Dodzi Yao SetsoafiaCollege of Engineering, IT and Environment, Purple 12, Charles Darwin University, Darwin, NT 0909, Australia.
Jai SinghCollege of Engineering, IT and Environment, Purple 12, Charles Darwin University, Darwin, NT 0909, Australia.ORCID 0000-0002-3968-8952

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, characterisation of exciton generation is carried out in three bulk-heterojunction organic solar cells (BHJ OSCs)-OSC1: an inverted non-fullerene (NF) BHJ OSC; OSC2: a conventional NF BHJ OSC; and OSC3: a conventional fullerene BHJ OSC. It is found that the overlap of the regions of strong constructive interference of incident and reflected electric fields of electromagnetic waves and those of high photon absorption within the active layer depends on the active layer thickness. An optimal thickness of the active layer can thus be obtained at which this overlap is maximum. We have simulated the rates of total exciton generation and position dependent exciton generation within the active layer as a function of the thicknesses of all the layers in all three OSCs and optimised their structures. Based on our simulated results, the inverted NF BHJ OSC1 is found to have better short circuit current density which may lead to better photovoltaic performance than the other two. It is expected that the results of this paper may provide guidance in fabricating highly efficient and cost effective BHJ OSCs.

Indexed as

bulk heterojunctionelectric fieldexcitonsnon-fullereneorganic solar cells

Identifiers

PMID33467502
PMCPMC7829893

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.