Deep learning: a new tool for photonic nanostructure design
RS Hegde - Nanoscale Advances, 2020 - pubs.rsc.org
Early results have shown the potential of Deep Learning (DL) to disrupt the fields of optical
inverse-design, particularly, the inverse design of nanostructures. In the last three years, the …
inverse-design, particularly, the inverse design of nanostructures. In the last three years, the …
A learning based approach for designing extended unit cell metagratings
The possibility of arbitrary spatial control of incident wavefronts with the subwavelength
resolution has driven research into dielectric optical metasurfaces in the last decade. The …
resolution has driven research into dielectric optical metasurfaces in the last decade. The …
Robust inverse design of all-dielectric metasurface transmission-mode color filters
The strong dispersion, ultra-thin form-factor and robustness to degradation make
metasurfaces attractive for color filter applications. In particular, transmission-mode filters …
metasurfaces attractive for color filter applications. In particular, transmission-mode filters …
Bimodal plasmonic color filters enable direct optical imaging of ion implantation in thin films
Optical metamaterials offer precise control over the properties and interactions of light at the
nanoscale, attracting interest in many new fields of research including chemical and …
nanoscale, attracting interest in many new fields of research including chemical and …
Multi-element metagrating design with densely-connected neural networks
Although metasurfaces offer unprecedented design flexibility, the discovery of optimal
structures remains a challenging problem where techniques like Deep learning are …
structures remains a challenging problem where techniques like Deep learning are …
Sample-efficient dataset generation for Deep-Learning based inverse design of photonic nanostructures
Sample-efficient dataset generation for Deep-Learning based inverse design of photonic
nanostructures Page 1 jsiv_5_4.pdf CLEO Europe and EQEC 2021 Sample-efficient dataset …
nanostructures Page 1 jsiv_5_4.pdf CLEO Europe and EQEC 2021 Sample-efficient dataset …
Subwellenlängenstrukturen zur Erzeugung allgemeiner Phasenfunktionen
S Linß - db-thueringen.de
Data transmission through optical fibers, lithographic production of semiconductor
components, and sensors for autonomous driving are just a few examples for optical …
components, and sensors for autonomous driving are just a few examples for optical …