A Multi Objective Evolutionary Algorithm for the Parameters Extraction of Organic Thin Film Transistors Models Article Swipe
Rosario Schiano Lo Moriello
,
Davide Ruggiero
,
Leopoldo Angrisani
,
Enzo Caputo
,
Francesco de Pandi
,
Giorgio de Alteriis
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/electronics10080939
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/electronics10080939
Thanks to their peculiar features, organic transistors are proving to be a valuable alternative to traditional semiconducting devices in several application fields; however, before releasing their exploitation, simulating their behaviour through adequate circuital models could be advisable during the design stage of electronic circuits and/or boards. Consequently, accurately extracting the parameter value of those models is fundamental to developing useful libraries for hardware design environments. To face the considered problem, the authors present a method based on successive application of Single- and Multi-Objective Evolutionary Algorithm for the optimal tuning of model parameters of organic transistors on thin film (OTFT). In particular, parameters are first roughly estimated to assure the best fit with the experimental transfer characteristics; the estimates are successively refined through the multi-objective strategy by also matching the values of the experimental mobility. The performance of the method has been assessed by estimating the parameters value of both P-type and N-type OTFTs characterized by different values of channel lengths; the obtained results evidence that the proposed method can obtain suitable parameters values for all the considered channel lengths.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics10080939
- https://www.mdpi.com/2079-9292/10/8/939/pdf?version=1618467574
- OA Status
- gold
- Cited By
- 4
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3156560536
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3156560536Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/electronics10080939Digital Object Identifier
- Title
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A Multi Objective Evolutionary Algorithm for the Parameters Extraction of Organic Thin Film Transistors ModelsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-04-14Full publication date if available
- Authors
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Rosario Schiano Lo Moriello, Davide Ruggiero, Leopoldo Angrisani, Enzo Caputo, Francesco de Pandi, Giorgio de AlteriisList of authors in order
- Landing page
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https://doi.org/10.3390/electronics10080939Publisher landing page
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https://www.mdpi.com/2079-9292/10/8/939/pdf?version=1618467574Direct link to full text PDF
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2079-9292/10/8/939/pdf?version=1618467574Direct OA link when available
- Concepts
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Transistor, Thin-film transistor, Channel (broadcasting), Electronic circuit, Algorithm, Computer science, Matching (statistics), Electronic engineering, Materials science, Mathematics, Engineering, Nanotechnology, Electrical engineering, Statistics, Voltage, Layer (electronics), Computer networkTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
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2021: 4Per-year citation counts (last 5 years)
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30Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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