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Simultaneous Extraction of Density of States Width, Carrier Mobility and Injection Barriers in Organic Semiconductors

The predictive accuracy of state–of–the–art continuum models for charge transport in organic semiconductors is highly dependent on the accurate tuning of a set of parameters whose values cannot be effectively estimated either by direct measurements or by first principles. Fitting the complete set of...

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Autores principales: Africa, Pasquale Claudio, de Falco, Carlo, Maddalena, Francesco, Caironi, Mario, Natali, Dario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476661/
https://www.ncbi.nlm.nih.gov/pubmed/28630493
http://dx.doi.org/10.1038/s41598-017-03882-8
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author Africa, Pasquale Claudio
de Falco, Carlo
Maddalena, Francesco
Caironi, Mario
Natali, Dario
author_facet Africa, Pasquale Claudio
de Falco, Carlo
Maddalena, Francesco
Caironi, Mario
Natali, Dario
author_sort Africa, Pasquale Claudio
collection PubMed
description The predictive accuracy of state–of–the–art continuum models for charge transport in organic semiconductors is highly dependent on the accurate tuning of a set of parameters whose values cannot be effectively estimated either by direct measurements or by first principles. Fitting the complete set of model parameters at once to experimental data requires to set up extremely complex multi–objective optimization problems whose solution is, on the one hand, overwhelmingly computationally expensive and, on the other, it provides no guarantee of the physical soundness of the value obtained for each individual parameter. In the present study we present a step–by–step procedure that enables to determine the most relevant model parameters, namely the density of states width, the carrier mobility and the injection barrier height, by fitting experimental data from a sequence of relatively simple and inexpensive measurements to suitably devised numerical simulations. At each step of the proposed procedure only one parameter value is sought for, thus highly simplifying the numerical fitting and enhancing its robustness, reliability and accuracy. As a case study we consider a prototypical n-type organic polymer. A very satisfactory fitting of experimental measurements is obtained, and physically meaningful values for the aforementioned parameters are extracted.
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spelling pubmed-54766612017-06-23 Simultaneous Extraction of Density of States Width, Carrier Mobility and Injection Barriers in Organic Semiconductors Africa, Pasquale Claudio de Falco, Carlo Maddalena, Francesco Caironi, Mario Natali, Dario Sci Rep Article The predictive accuracy of state–of–the–art continuum models for charge transport in organic semiconductors is highly dependent on the accurate tuning of a set of parameters whose values cannot be effectively estimated either by direct measurements or by first principles. Fitting the complete set of model parameters at once to experimental data requires to set up extremely complex multi–objective optimization problems whose solution is, on the one hand, overwhelmingly computationally expensive and, on the other, it provides no guarantee of the physical soundness of the value obtained for each individual parameter. In the present study we present a step–by–step procedure that enables to determine the most relevant model parameters, namely the density of states width, the carrier mobility and the injection barrier height, by fitting experimental data from a sequence of relatively simple and inexpensive measurements to suitably devised numerical simulations. At each step of the proposed procedure only one parameter value is sought for, thus highly simplifying the numerical fitting and enhancing its robustness, reliability and accuracy. As a case study we consider a prototypical n-type organic polymer. A very satisfactory fitting of experimental measurements is obtained, and physically meaningful values for the aforementioned parameters are extracted. Nature Publishing Group UK 2017-06-19 /pmc/articles/PMC5476661/ /pubmed/28630493 http://dx.doi.org/10.1038/s41598-017-03882-8 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Africa, Pasquale Claudio
de Falco, Carlo
Maddalena, Francesco
Caironi, Mario
Natali, Dario
Simultaneous Extraction of Density of States Width, Carrier Mobility and Injection Barriers in Organic Semiconductors
title Simultaneous Extraction of Density of States Width, Carrier Mobility and Injection Barriers in Organic Semiconductors
title_full Simultaneous Extraction of Density of States Width, Carrier Mobility and Injection Barriers in Organic Semiconductors
title_fullStr Simultaneous Extraction of Density of States Width, Carrier Mobility and Injection Barriers in Organic Semiconductors
title_full_unstemmed Simultaneous Extraction of Density of States Width, Carrier Mobility and Injection Barriers in Organic Semiconductors
title_short Simultaneous Extraction of Density of States Width, Carrier Mobility and Injection Barriers in Organic Semiconductors
title_sort simultaneous extraction of density of states width, carrier mobility and injection barriers in organic semiconductors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476661/
https://www.ncbi.nlm.nih.gov/pubmed/28630493
http://dx.doi.org/10.1038/s41598-017-03882-8
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