at Google ScholarTitle data
Rosnitschek, Tobias ; Al-Motori, Sara ; Orgeldinger, Christian ; Zimmermann, Markus ; Tremmel, Stephan:
A Predictive Design Framework for Tunable Structural Colour Inspired by Morpho Nanostructures.
In: Advances in Materials Science and Engineering.
Vol. 2026
(2026)
Issue 1
.
- 9921260.
ISSN 1687-8442
DOI: https://doi.org/10.1155/amse/9921260
Abstract in another language
Structural colour arises from light interacting with nanoscale architectures, yet generalizable design rules for engineering such effects remain limited. Here, we introduce a predictive design framework for tunable structural colour based on simplified Morpho-inspired photonic nanostructures. Using electromagnetic finite-element simulations, we systematically vary geometric parameters and derive a linear scaling law linking structural dimensions to reflection wavelength, enabling both forward colour prediction and inverse geometry estimation. Angle-resolved analyses reveal that reflectance is maximized at shallow incidence angles, offering insights for wide-angle optical functionality. To support practical design workflows, simulated spectra are mapped into RGB colour space for intuitive visualization. This framework provides an efficient route to engineer bioinspired photonic surfaces with tunable colour responses, relevant for coatings, sensors, and optical materials.
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Engineering Science > Former Professors > Chair Engineering Design and CAD - Univ.-Prof. Dr.-Ing. Frank Rieg Faculties > Faculty of Engineering Science > Chair Engineering Design and CAD > Chair Engineering Design and CAD - Univ.-Prof. Dr.-Ing Stephan Tremmel |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
| Date Deposited: | 16 Mar 2026 07:18 |
| Last Modified: | 16 Mar 2026 07:18 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/96577 |