Work

Neural Network Method for Dielectric Optical Coating Design

Year: 2024

Type: article

Abstract: We use neural networks to address the challenge of deriving dielectric coating designs from the desired optical properties. We show that our trained neural network can automatically design common laser mirror coatings types efficiently.

Source: Springer Link (Chiba Institute of Technology)

DOI: 10.1051/epjconf/202430704057/pdf

Authors: Utsa Chattopadhyay, Florian Carstens, Andreas Wienke, Ingmar Hartl, Nihat Ay, Christoph Heyl, Henrik Tünnermann

Institutions: Helmholtz Institute Jena, Laser Zentrum Hannover, Hamburg University of Technology, Deutsches Elektronen-Synchrotron DESY

Language: English

Topic: Optical Coatings and Gratings

Subfield: Surfaces, Coatings and Films

Field: Materials Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6884528052

FWCI:

Cites:

Cited by:

Related to: