Despite significant advances in the field of organic electronic devices, a complete and thorough theoretical understanding of their operation is still missing. This study aims to deepen the understanding of the underlying physics of organic field-effect transistors (OFETs) through analytical modeling, numerical device simulations and experimental validations of contact-induced performance improvements and traps. The thesis presents a comprehensive methodology for reliable parameter extraction for the contact resistance of OFETs using conventional extraction methods originally developed for silicon-based transistors. A benchmarking strategy is proposed for accurate and reliable parameter extraction, involving a comparative study of different extraction techniques to ensure the most precise results.
The study investigates the experimentally proven performance gain of OFETs with contact engineering on oxidized metal electrodes. Theoretical analysis is performed to identify the root causes of the observed performance enhancement, providing valuable insight into the underlying physics of contact engineering and its impact on OFET performance.
In addition, the thesis explores the impact of dynamic trapping on highfrequency transistor performance and presents innovative methods for characterizing traps. Through the use of TCAD simulations, a comprehensive study of the internal quantities of organic transistors is conducted. The study provides a critical step towards developing a physics-based compact model for OFETs that can capture the essential physics of the device. Overall, this thesis provides comprehensive guidelines for reliable parameter extraction and performance improvement of OFETs. It makes significant contributions to the understanding of their underlying physics and lays the foundation for the development of physics-based compact models for OFETs, which could potentially revolutionize the field of organic electronics.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:92994 |
| Date | 22 August 2024 |
| Creators | Donnhäuser, Shabnam |
| Contributors | Mannsfeld, Stefan, Klös, Alexander, Blawid, Stefan, Technische Universität Dresden |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
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