| Grant number: | 18/15670-5 |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| Start date: | January 01, 2019 |
| End date: | December 31, 2022 |
| Field of knowledge: | Physical Sciences and Mathematics - Physics - Condensed Matter Physics |
| Principal Investigator: | Paulo Barbeitas Miranda |
| Grantee: | Florian Steffen Günther |
| Host Institution: | Instituto de Física de São Carlos (IFSC). Universidade de São Paulo (USP). São Carlos , SP, Brazil |
| Associated research grant: | 14/50869-6 - INCT 2014: on Organic Electronics, AP.TEM |
| Associated research grant(s): | 24/07315-1 - ICSM2024, AR.EXT |
Abstract To make the visions that we have for our future to become true, especially to fulfill the expectations of the electronic devices, new materials are needed. We are talking mainly about solar energy converters in electricity and flexible electronics. While bendable devises are already accessible, the next stage on the road map towards higher functionality is to focus on stretchability. This research proposal aims at studying a novel hybrid material which combines diketo-pyrrolopyrrole (DPP), which is currently the leading compound of semiconducting organics, with poly(dimethylsiloxane) urethane (PDMSUr), which offers the required mechanical properties.The proposed work consists of three main tasks: First, a PDMSUr-DPP co-polymer material will be synthesized. However, most strategies in literature only focus either on DPP or on PDMSUr materials. In the here proposed work a synthesis route is suggested that combines these approaches. The second and major research task is to fabricate electronic devices such as thin-film transistors or solar cells based on this new material type, towards applications in flexible and stretchable electronics. For this, various fabrication techniques from solution can be used. Moreover, proper substrate and contact materials have to be chosen in order to obtain best device functionality. The third and last task comprises theoretical investigations which will support the two experimental tasks. By comparing to simulations, the system can be classified based on its physical properties and most suitable functionalizations can be predicted. Moreover, appropriate models to describe the proposed systems of different level of theory have to be formulated. | |
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