P‑Doped Carbon Nanotubes as Light-Absorbing Electron Donors in Photovoltaics.

Christopher J Blackwell, Tommaso Bianconi, Zachary M Faitz, Abitha Dhavamani, Martin T Zanni, Michael S Arnold

Abstract read

In one paragraph

Article in The journal of physical chemistry. C, Nanomaterials and interfaces, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing 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

2 citing papers in PubMed.

Ultrafast photocurrent detection contradicts optical detection conclusions: Exciton diffusion contributes little to carbon nanotube device efficiency.Science advances · 2026
Article
Spectroscopic Signatures of Doping in Thin Films of Semiconducting Single-Walled Carbon Nanotubes.Small (Weinheim an der Bergstrasse, Germany) · 2026
Review

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.

Christopher J Blackwell†Department of Materials Science and Engineering and ‡Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID https://orcid.org/0009-0006-1781-5558

Tommaso Bianconi†Department of Materials Science and Engineering and ‡Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID https://orcid.org/0000-0003-2564-8738

Zachary M Faitz†Department of Materials Science and Engineering and ‡Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.

Abitha Dhavamani†Department of Materials Science and Engineering and ‡Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID https://orcid.org/0000-0001-9082-3251

Martin T Zanni†Department of Materials Science and Engineering and ‡Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID https://orcid.org/0000-0001-7191-9768

Michael S Arnold†Department of Materials Science and Engineering and ‡Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID https://orcid.org/0000-0002-2044-7032

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Semiconductor doping has yielded performance enhancements in organic thermoelectrics, light-emitting diodes, transistors, and photovoltaics. In analogous devices using semiconducting single-walled carbon nanotubes (s-SWCNTs), similar doping strategies have been studied for the enhancement of thermoelectrics, light-emitting diodes, and transistors, but virtually no studies have examined the impact of doping on photovoltaic behavior. Here, we investigate chemically p-doped (6,5) s-SWCNTs as light-absorbing donor materials in photovoltaic donor-acceptor heterojunctions with C

Identifiers

PMID41069982

DOI10.1021/acs.jpcc.5c03067

PMCPMC12506631

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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.