Abstract
The proposed solver enables significant improvements in terms of computational time compared to standard Runge-Kutta approach, and enables ultra-fast gain predictions.
| Original language | English |
|---|---|
| Publication date | 2024 |
| Publication status | Published - 2024 |
| Event | CLEO: Science and Innovations 2024 - Charlotte Convention Center, Charlotte, United States Duration: 5 May 2024 → 10 May 2024 |
Conference
| Conference | CLEO: Science and Innovations 2024 |
|---|---|
| Location | Charlotte Convention Center |
| Country/Territory | United States |
| City | Charlotte |
| Period | 05/05/2024 → 10/05/2024 |
Keywords
- Accuracy
- Artificial neural networks
- C-band
- Electro-optical waveguides
- Lasers and electrooptics
- Power lasers
- Standards
- Stimulated emission
Fingerprint
Dive into the research topics of 'Fast and Efficient Solver for Raman Amplifier Equations Employing Neural Networks'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver