CORDIS Project
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This project focuses on advancing disordered photonics by using machine learning techniques to analyze and model the 3D structures of organic materials. The goal is to optimize these materials for applications in various industries, including biomedical imaging and solar energy harvesting.
The field of disordered photonics has increased its importance immensely over past decades as it finds widespread application in several fields from biomedical imaging, to solar energy harvesting, paint, pigments, food and cosmetic industry.
However, the current development of highly scattering materials is often hindered by lack of ways to quantitatively predict and model their structural morphology and photonic properties.
This action aims to characterize disordered photonic structures made o…
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