Inverse Design and Optimization

PLASMONIC COLOURS PREDICTED BY DEEP LEARNING

J. Baxter, A. Calà Lesina, J.-M. Guay, A. Weck, P. Berini, L. Ramunno

DOI: 10.1038/s41598-019-44522-7

Colour prediction and inverse design

Deep learning can predict colours knowing nanoparticle distribution or laser parameters. Given a desired colour, deep learning can also solve the inverse problem and provide a unique solution.  

Topology optimization of dispersive plasmonic nanostructures in the time-domain

E. Hassan, A. Calà Lesina

https://doi.org/10.1364/OE.458080

(a) Progress of the objective function and samples showing the evolution of the optimized geometry (see Visualization on the right). (b) Antenna topology. (c) Average field enhancement in the spectrum of interest. (d)-(j) Field distribution at wavelengths of interest.