Evidence map›Paper›PMID 39218920›Full record

ArticleNature communications2024

Small signal analysis for the characterization of organic electrochemical transistors.

Youngseok Kim, Joost Kimpel, Alexander Giovannitti, Christian Müller

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. 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

4 authors.

Youngseok KimDepartment of Chemistry and Chemical Engineering, Chalmers University of Technology, Göteborg, Sweden. ykim@chalmers.se.ORCID http://orcid.org/0000-0002-9584-821X
Joost KimpelDepartment of Chemistry and Chemical Engineering, Chalmers University of Technology, Göteborg, Sweden.
Alexander GiovannittiDepartment of Chemistry and Chemical Engineering, Chalmers University of Technology, Göteborg, Sweden.
Christian MüllerDepartment of Chemistry and Chemical Engineering, Chalmers University of Technology, Göteborg, Sweden. christian.muller@chalmers.se.ORCID http://orcid.org/0000-0001-7859-7909

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 101043417EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 101116071EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 955837Knut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation) 2021.0295Knut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation) 2022.0034
6 · The paper itself

Abstract

A method for the characterization of organic electrochemical transistors (OECTs) based on small signal analysis is presented that allows to determine the electronic mobility as a function of continuous gate potential using a standard two-channel AC potentiostat. Vector analysis in the frequency domain allows to exclude parasitic components in both ionic and electronic conduction regardless of film thickness, thus resulting in a standard deviation as low as 4%. Besides the electronic mobility, small signal analysis of OECTs also provides information about a wide range of other parameters including the conductance, transconductance, conductivity and volumetric capacitance through a single measurement. General applicability of small signal analysis is demonstrated by characterizing devices based on n-type, p-type, and ambipolar materials operating in accumulation or depletion modes. Accurate benchmarking of organic mixed ionic-electronic conductors through small signal analysis can be anticipated to guide both materials development and the design of bioelectronic devices.

Identifiers

PMID39218920
PMCPMC11366767

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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.