Peer-reviewedLicence not statedOptics Express
Physics-Guided Source Selection for Few-Shot Transfer Learning to Characterise Bismuth-Doped Fiber Amplifier
Related
- Physics-Transfer Learning: A Physics-Constrained Theory for Zero-Shot Generalization Along the Ladder of Complexity
- Cova-PINN: Cross-Domain Conservation Physics-Informed Neural Network for Fluid-Solid Conjugate Heat Transfer in Complex Geometries
- Physics-integrated neural network modeling of heat and mass transfer in cryogenic liquid storage under static and dynamic conditions
- Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence
- QTT Physical Contact Selection and Predictive Transfer Theorem
BibTeX
@article{huang2026physicsguided,
title = {{Physics-Guided Source Selection for Few-Shot Transfer Learning to Characterise Bismuth-Doped Fiber Amplifier}},
author = {Yuhang Huang and Benjamin Mills and Jess Ferriss and Zahra Kakaei and Qiubai Yang and Nilotpal Choudhury and James Grant-Jacob and Michalis Zervas and Jayanta Sahu},
journal = {Optics Express},
year = {2026},
month = oct,
doi = {10.1364/oe.612224},
url = {https://opg.optica.org/oe/abstract.cfm?doi=10.1364/OE.612224},
}
RIS
TY - JOUR
TI - Physics-Guided Source Selection for Few-Shot Transfer Learning to Characterise Bismuth-Doped Fiber Amplifier
AU - Yuhang Huang
AU - Benjamin Mills
AU - Jess Ferriss
AU - Zahra Kakaei
AU - Qiubai Yang
AU - Nilotpal Choudhury
AU - James Grant-Jacob
AU - Michalis Zervas
AU - Jayanta Sahu
PY - 2026
DA - 2026/10/30
JO - Optics Express
DO - 10.1364/oe.612224
UR - https://opg.optica.org/oe/abstract.cfm?doi=10.1364/OE.612224
SN - 1094-4087
ER -