Record Gain-Per-Unit Length of Cr-Doped Crystalline Core Fiber by AI-Assisted Deep Learning Growth
A record gain-per-unit length (GPUL) of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$114-\text{dB} / \mathrm{m}$</tex> in a <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$9-\mu \mathrm{m}$</tex> core, <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$10-\text{cm}$</tex> length, and 300- nm broadband single-mode Cr-doped crystalline core fiber are demonstrated by AI-assisted deep learning growth.
Authors
- Chien-Wei Huang (ORCID: https://orcid.org/0009-0008-4807-9551)
- Chun-Nien Liu (ORCID: https://orcid.org/0000-0002-6856-3251)
- Yunting Wang (ORCID: https://orcid.org/0000-0001-6190-4351)
- Chun-Tse Tseng
- Wood-Hi Cheng (ORCID: https://orcid.org/0000-0002-4520-6227)
- Kai‐Chieh Chang (ORCID: https://orcid.org/0000-0003-1161-6882)
Institutions
- National Chung Hsing University (TW)
- National Taiwan University (TW)
- Defense Systems (United States) (US)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11110253
- Primary Topic
- Advanced Semiconductor Detectors and Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.00