2021
DOI: 10.1117/1.oe.60.12.124101
|View full text |Cite
|
Sign up to set email alerts
|

Machine learning regression approach to on-chip optical frequency combs analyses

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 0 publications
0
1
0
Order By: Relevance
“…Our new tool combined with a suitable merit function could help us identify the appropriate initial conditions for the generation of custom waveforms. Our approach could also be extended to the generation of cavity-based frequency combs, governed by the Lugiato-Lefever equation model [50,51].…”
Section: Discussionmentioning
confidence: 99%
“…Our new tool combined with a suitable merit function could help us identify the appropriate initial conditions for the generation of custom waveforms. Our approach could also be extended to the generation of cavity-based frequency combs, governed by the Lugiato-Lefever equation model [50,51].…”
Section: Discussionmentioning
confidence: 99%