Journal
ADVANCED MATERIALS
Volume 35, Issue 34, Pages -Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.202107325
Keywords
biophysics; chiral plasmonics; machine learning; photonics; plasmonics
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The scientific effort to control the interaction between light and matter has experienced exponential growth in the last 2 decades. This growth has been facilitated by the development of scientific and technological tools that allow manipulation of light at sub-wavelength scales, leading to the discovery of novel phenomena across different research areas. This review focuses on the role of chirality in light-matter interactions, providing an overview of its properties, materials, and applications, and discussing the future prospects, including the incorporation of machine learning in designing advanced chiroptical materials to enhance and control light-matter interactions at various scales.
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.
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