Artificial Intelligence Enabled inverse design of metasurfaces: from components to integrated systems for next generation vision

Andrea Fratalocchi

doi:10.23919/OECC/PSC53152.2022.9850214

Artificial Intelligence Enabled inverse design of metasurfaces: from components to integrated systems for next generation vision

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this invited I will review our research activity in the field of inverse designed metasurfaces and artificial intelligent hardware for next generation vision and high performing optical systems.

Original language	English (US)
Title of host publication	2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC)
Publisher	IEEE
ISBN (Print)	978-1-6654-8606-4
DOIs	https://doi.org/10.23919/OECC/PSC53152.2022.9850214
State	Published - Aug 17 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-09-14
Acknowledgements: We acknowledge funding from KAUST through the Artificial Intelligence Initiative (AII) funding. Parallel simulations are performed on KAUST’s Shaheen supercomputer.

Access to Document

10.23919/OECC/PSC53152.2022.9850214

Cite this

@inproceedings{529a664224bd40c79119e03221d4f442,

title = "Artificial Intelligence Enabled inverse design of metasurfaces: from components to integrated systems for next generation vision",

abstract = "In this invited I will review our research activity in the field of inverse designed metasurfaces and artificial intelligent hardware for next generation vision and high performing optical systems.",

author = "Andrea Fratalocchi",

note = "KAUST Repository Item: Exported on 2022-09-14 Acknowledgements: We acknowledge funding from KAUST through the Artificial Intelligence Initiative (AII) funding. Parallel simulations are performed on KAUST{\textquoteright}s Shaheen supercomputer.",

year = "2022",

month = aug,

day = "17",

doi = "10.23919/OECC/PSC53152.2022.9850214",

language = "English (US)",

isbn = "978-1-6654-8606-4",

booktitle = "2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC)",

publisher = "IEEE",

}

Artificial Intelligence Enabled inverse design of metasurfaces: from components to integrated systems for next generation vision. / Fratalocchi, Andrea.
2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC). IEEE, 2022.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Artificial Intelligence Enabled inverse design of metasurfaces: from components to integrated systems for next generation vision

AU - Fratalocchi, Andrea

N1 - KAUST Repository Item: Exported on 2022-09-14 Acknowledgements: We acknowledge funding from KAUST through the Artificial Intelligence Initiative (AII) funding. Parallel simulations are performed on KAUST’s Shaheen supercomputer.

PY - 2022/8/17

Y1 - 2022/8/17

N2 - In this invited I will review our research activity in the field of inverse designed metasurfaces and artificial intelligent hardware for next generation vision and high performing optical systems.

AB - In this invited I will review our research activity in the field of inverse designed metasurfaces and artificial intelligent hardware for next generation vision and high performing optical systems.

UR - http://hdl.handle.net/10754/680435

UR - https://ieeexplore.ieee.org/document/9850214/

U2 - 10.23919/OECC/PSC53152.2022.9850214

DO - 10.23919/OECC/PSC53152.2022.9850214

M3 - Conference contribution

SN - 978-1-6654-8606-4

BT - 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC)

PB - IEEE

ER -

Artificial Intelligence Enabled inverse design of metasurfaces: from components to integrated systems for next generation vision

Abstract

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this