Optimization and machine learning for the inverse design of photonic integrated devices

Authors

Pavel Cheben (ORCID: https://orcid.org/0000-0003-4232-9130)
Muhammad Al-Digeil
Daniele Melati (ORCID: https://orcid.org/0000-0002-3427-0186)
Éric Cassan (ORCID: https://orcid.org/0000-0003-2802-7689)
Dan‐Xia Xu (ORCID: https://orcid.org/0000-0002-0490-5224)
Laurent Vivien (ORCID: https://orcid.org/0000-0002-2980-7225)
Jens H. Schmid (ORCID: https://orcid.org/0000-0003-3508-7428)
Yuri Grinberg (ORCID: https://orcid.org/0000-0003-3349-1590)
Amir Hossein Masominia
Delphine Marris Morini
Carlos A. Alonso-Ramos

Institutions

Centre de Nanosciences et de Nanotechnologies (FR)
National Research Council Canada (CA)

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2025-05-20
Primary Topic: Neural Networks and Reservoir Computing
Type: article
Field-Weighted Citation Impact: 0.00

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article

Optimization and machine learning for the inverse design of photonic integrated devices

Pavel Cheben, Muhammad Al-Digeil, Daniele Melati, Éric Cassan et al.

May 20, 2025

SPIRE - Sciences Po Institutional REpository

Neural Networks and Reservoir Computing

article

Optimization and machine learning for the inverse design of photonic integrated devices

Pavel Cheben, Muhammad Al-Digeil, Daniele Melati, Éric Cassan, Dan‐Xia Xu, Laurent Vivien, Jens H. Schmid, Yuri Grinberg, Amir Hossein Masominia, Delphine Marris Morini, Carlos A. Alonso-Ramos

May 20, 2025article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

Centre de Nanosciences et de Nanotechnologies (FR), National Research Council Canada (CA)

Openalex Percentile: Top 79%

Neural Networks and Reservoir Computing

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