Document Type
Article
Publication Date
5-9-2022
Abstract
The scientific effort to control the interaction between light and matter has grown exponentially in the last 2 decades. This growth has been aided by the development of scientific and technological tools enabling the manipulation of light at deeply sub-wavelength scales, unlocking a large variety of novel phenomena spanning traditionally distant research areas. Here, the role of chirality in light–matter interactions is reviewed by providing a broad overview of its properties, materials, and applications. A perspective on future developments is highlighted, including the growing role of machine learning in designing advanced chiroptical materials to enhance and control light–matter interactions across several scales.
Keywords
biophysics, chiral plasmonics, machine learning, photonics, plasmonics
Language
English
Publication Title
Advanced Materials
Grant
FESR-FSE 14/20
Rights
© 2022 The Authors. This is an open access work distributed under the terms of the Creative Commons Attribution-Non-Commercial (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Recommended Citation
A. Lininger, G. Palermo, A. Guglielmelli, G. Nicoletta, M. Goel, M. Hinczewski, G. Strangi, Chirality in Light–Matter Interaction. Adv. Mater. 2023, 35, 2107325. https://doi.org/10.1002/adma.202107325
Manuscript Version
Final Publisher Version