Peer-reviewedLicence not statedOptics Express
Physics-Informed GPR with Deep Kernel Learning for Femtosecond Laser Machining of Fused Silica Microchannels
Related
- Parameter Estimation in Machining Dynamics with Regenerative Delay and Nonsmooth Friction using Physics-Informed Neural Networks
- Passage of particles through matter and the effective straggling-function: High-fidelity accelerated simulation via Physics-Informed Machine Learning
- Physics-Informed Machine Learning for Response Tensors in Crystalline Magnets: Application to Kagome Metals
- Physics-informed learning for the inverse problem in resonant ultrasound spectroscopy
- Rethinking Channel Estimation for Fluid Antenna Systems: A Physics-Informed Operator Learning
BibTeX
@article{sun2026physicsinformed,
title = {{Physics-Informed GPR with Deep Kernel Learning for Femtosecond Laser Machining of Fused Silica Microchannels}},
author = {Chaowei Sun and li runsheng and Guo weibo and zhang jiakui and Liu Haoran and Xu zimeng and Hongxing Xu},
journal = {Optics Express},
year = {2026},
month = nov,
doi = {10.1364/oe.615355},
url = {https://opg.optica.org/oe/abstract.cfm?doi=10.1364/OE.615355},
}
RIS
TY - JOUR
TI - Physics-Informed GPR with Deep Kernel Learning for Femtosecond Laser Machining of Fused Silica Microchannels
AU - Chaowei Sun
AU - li runsheng
AU - Guo weibo
AU - zhang jiakui
AU - Liu Haoran
AU - Xu zimeng
AU - Hongxing Xu
PY - 2026
DA - 2026/11/05
JO - Optics Express
DO - 10.1364/oe.615355
UR - https://opg.optica.org/oe/abstract.cfm?doi=10.1364/OE.615355
SN - 1094-4087
ER -