INS2-0138
Polymer and biopolymer hybrid materials for organic electronics
Topic
S2. High-End Characterization/Polymer Physics/Properties
When and Where
Sep 30, 2026
11:10 - 11:35
Room 103
Session Chairs
Keiji TANAKA
Presenter(s)
STEPHAN ROTH (Deutsches Elektronen-Synchrotron DESY)
Co-Author(s)
Abstract
Polymer materials as functional layers in organic electronics allow for light weight and flexibility in real-world devices. The relevant materials are conjugated, semiconductive polymers. They allow for a broad range of applications ranging from organic electronics to flexible solar cells. On the other hand, structural persistence on device scale is demanded. Here, biopolymers come into play. Cellulose nanofibrils (CNF) are ideal: Cellulose constitutes the world’s largest biomass, CNF are lightweight, yet flexible and resistant to many solvents. Thus, combining semiconductive polymers and CNF into hybrid materials offers new routes for sustainable, organic electronics. In detail, the use of spray coating as scalable and material-saving processing technology is pursued, allowing even roll-to-roll (R2R) fabrication of hybrid materials.
In order to correlate nanostructure, hybrid material properties and macroscopic function, X-ray and neutron scattering allow for time-resolved high-end characterization for the molecular to the mesoscale. In detail, grazing incidence X-ray and neutron scattering allow for in situ investigations during processing as well as investigating stability of the hybrid materials during environmental stressing. The examples range from optically transparent electrode materials via full electronic devices to thermoelectrics. Finally, deep-learning methods for in-depth characterization of the nanostructure are presented.
In order to correlate nanostructure, hybrid material properties and macroscopic function, X-ray and neutron scattering allow for time-resolved high-end characterization for the molecular to the mesoscale. In detail, grazing incidence X-ray and neutron scattering allow for in situ investigations during processing as well as investigating stability of the hybrid materials during environmental stressing. The examples range from optically transparent electrode materials via full electronic devices to thermoelectrics. Finally, deep-learning methods for in-depth characterization of the nanostructure are presented.
