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SUMMARY:Arash Rahimi-Iman (Justus-Liebig-Universität Gießen)
DESCRIPTION:Title : Machine learning optimization of chiral photonic metasurface: evolution-based algorithm and deep learning approach \nAbstract : \n\n\n\n\nChirality of light in the simplest case is given by the handedness of circular polarization\, for which handedness preserving or nonpreserving optics can be developed [1]. Chiral photonics has been receiving increased attention due to prospects of delivering tailored metamaterials with strong ‘chiroptical’ responses at predesignated wavelengths [2]\, as interactions between chiral light and matter could be attractive for applications ranging from chemistry to information processing. \nCircularly polarized electromagnetic waves incident on a nanopatterned metasurface can experience frequency-dependent filtering effects in reflection and/or transmission geometry. Such structures can be produced in thin-film dielectrics or metallic sheets. In a comparison of two machine learning optimization approaches\, the predicted chiral patterns (here in GaP) feature an increased circular dichroism [3]\, which resulted in a stronger reflectivity of right circularly than left circularly polarized waves compared to a simpler human-designed pattern. Outcomes from the multi-epoch design improvement procedure – through an evolution- and neural network-based algorithm – are discussed for a frequency-range-neutral comparative consideration promising for both (nano)printing or ablating of surface patterns\, and indicating further improvements potentials with more advanced algorithms. \nReferences: \n[1] E. Plum\, N. I. Zheludev (2015): Chiral Mirrors\, Appl.Phys.Lett. 106\, 221901. \n[2] W. Ma\, F. Cheng\, Y. Liu (2018): Deep-Learning-Enabled On-Demand Design of Chiral Metamaterials\, ACS Nano 12\, 6326. \n[3] O. Mey\, A. Rahimi-Iman (2021): Machine Learning-Based Optimization of Chiral Photonic Nanostructures: Evolution- and Neural Network-Based Designs\, Phys.Stat.Sol. RRL 16\, 202100571. \nThis seminar will take place in Room 266 at the Faculty of Sciences.
URL:https://www.naxys.be/event/arash-rahimi-iman-justus-liebig-universitat-giesen/
CATEGORIES:NAXYS Seminar
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