Author
Listed:
- Bing Han
(Institute for Advanced Materials and Laboratory of Quantum Engineering and Quantum Materials, South China Normal University)
- Yuanlin Huang
(Institute for Advanced Materials and Laboratory of Quantum Engineering and Quantum Materials, South China Normal University)
- Ruopeng Li
(Institute for Advanced Materials and Laboratory of Quantum Engineering and Quantum Materials, South China Normal University)
- Qiang Peng
(Institute for Advanced Materials and Laboratory of Quantum Engineering and Quantum Materials, South China Normal University)
- Junyi Luo
(Institute for Advanced Materials and Laboratory of Quantum Engineering and Quantum Materials, South China Normal University
School of Physics and Telecommunication Engineering, South China Normal University)
- Ke Pei
(Institute for Advanced Materials and Laboratory of Quantum Engineering and Quantum Materials, South China Normal University)
- Andrzej Herczynski
(Boston College)
- Krzysztof Kempa
(Boston College)
- Zhifeng Ren
(University of Houston)
- Jinwei Gao
(Institute for Advanced Materials and Laboratory of Quantum Engineering and Quantum Materials, South China Normal University)
Abstract
Modern optoelectronics needs development of new materials characterized not only by high optical transparency and electrical conductivity, but also by mechanical strength, and flexibility. Recent advances employ grids of metallic micro- and nanowires, but the overall performance of the resulting material composites remains unsatisfactory. In this work, we propose a new strategy: application of natural scaffoldings perfected by evolution. In this context, we study two bio-inspired networks for two specific optoelectronic applications. The first network, intended for solar cells, light sources and similar devices, has a quasi-fractal structure and is derived directly from a chemically extracted leaf venation system. The second network is intended for touch screens and flexible displays, and is obtained by metalizing a spider’s silk web. We demonstrate that each of these networks attain an exceptional optoelectonic and mechanical performance for its intended purpose, providing a promising direction in the development of more efficient optoelectronic devices.
Suggested Citation
Bing Han & Yuanlin Huang & Ruopeng Li & Qiang Peng & Junyi Luo & Ke Pei & Andrzej Herczynski & Krzysztof Kempa & Zhifeng Ren & Jinwei Gao, 2014.
"Bio-inspired networks for optoelectronic applications,"
Nature Communications, Nature, vol. 5(1), pages 1-7, December.
Handle:
RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms6674
DOI: 10.1038/ncomms6674
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