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Surrogate modelling for 3D-printed, achromatic, high numerical aperture metafibres

CORDIS · observation · Publication date unknown

cise and realistic control of meta-atom responses. Secondly (WP2), a Gaussian Process Regression (GPR) will be implemented as a versatile surrogate model using the established supercell library. This machine learning technique enables the efficient prediction of complex optical meta supercell responses, facilitating rapid prototyping and customization with reduced computational overhead. Notably, GPR models allow to consider fabrication tolerances straight-forward in combination with data augmentation techniques. Lastly (WP3), I will exploit the GPR model for the design of high-performing achromatic metafibres, utilizing 3D-printing technology to directly print the metalenses on the tip of optical fibres. I have chosen a top research centre, Leibniz Institute of Photonic Technology/ Jena, Germany, to develop my MSCA project under supervision of a world-leading expert in optical fiber photonics. Using my knowledge in engineering, photonics and numerical simulation tools, this MSCA project will pave the way for metafibres promising versatile and broadband optical solutions with the po

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recordType

award

status

SIGNED

region

EU

value

189687.36

unit

EUR