Physics-informed neural networks for imaging and parameter retrieval of photonic nanostructures from near-field data-Reference-Cited by-同舟云学术

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Physics-informed neural networks for imaging and parameter retrieval of photonic nanostructures from near-field data

Published:2022-01-01 Issue:1 Volume:7 Page:010802
ISSN:2378-0967
Container-title:APL Photonics
language:en
Short-container-title:APL Photonics

Author:

Chen Yuyao¹^ORCID,Dal Negro Luca¹²³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering and Photonics Center, Boston University, 8 Saint Mary’s Street, Boston, Massachusetts 02215, USA

2. Division of Materials Science and Engineering, Boston University, 15 Saint Mary’s St., Brookline, Massachusetts 02446, USA

3. Department of Physics, Boston University, 590 Commonwealth Avenue, Boston, Massachusetts 02215, USA

Funder

Army Research Laboratory

National Science Foundation

Publisher

AIP Publishing

Subject

Computer Networks and Communications,Atomic and Molecular Physics, and Optics

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0072969

Reference53 articles.

1. Near-Field Microscopy and Near-Field Optics

2. Dual-SNOM investigations of multimode interference in plasmonic strip waveguides

3. Characterization of Nanomaterials by Locally Determining Their Complex Permittivity with Scattering-Type Scanning Near-Field Optical Microscopy

4. Visibility of subsurface nanostructures in scattering-type scanning near-field optical microscopy imaging

5. Principles of Nano-Optics

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