Neural Network Method for Dielectric Optical Coating Design

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.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-10-18
DOI
https://doi.org/10.1051/epjconf/202430704057/pdf
Primary Topic
Optical Coatings and Gratings
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Neural Network Method for Dielectric Optical Coating Design

Springer Link (Chiba Institute of Technology)
Optical Coatings and Gratings
article

Neural Network Method for Dielectric Optical Coating Design

article en

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.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 73%
Optical Coatings and Gratings
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Neural Network Method for Dielectric Optical Coating Design · Springer Link (Chiba Institute of Technology) (2024) | TGRS Research Map | TGRS