Hanshuo Wu, Min Jiang, Pu Zhou. Artificial Intelligence-Assisted Laser Science and Technology: Status, Opportunities, and Challenges[J]. Chinese Journal of Lasers, 2023, 50(11): 1101001
- Chinese Journal of Lasers
- Vol. 50, Issue 11, 1101001 (2023)
Fig. 1. Publication numbers of in-title papers and in-topic papers related to AI-assisted laser technology in Web of Science
Fig. 2. Word cloud of keywords
![Topological graph of neural network model for predicting PCF properties[22]](/Images/icon/loading.gif){kind=icon}
Fig. 3. Topological graph of neural network model for predicting PCF properties[22]
Fig. 4. Flow chart of forward design and inverse design of mode selective coupler[34]
Fig. 5. Topology structure of forward neural network with 7 input ports and 200 output ports[35]
Fig. 6. Schematic of self-tuning mode-locked fiber laser[45]. (a) Objective function of laser cavity, optic components, and laser; (b) variational autoencoder; (c) latent variable mapping; (d) model prediction module
Fig. 7. Model diagram and modeling process[47]. (a) Model diagram with prior information; (b) modeling process of mode-locked laser based on AI
Fig. 8. Schematics of model network structure[50]. (a) Specific type of optical fiber model; (b) general optical fiber model
Fig. 9. CBC system based on deep learning technique[63]. (a) Principle of system; (b) schematic of neural network workflow
Fig. 10. Schematic of mode decomposition network[66]
Fig. 11. Architecture diagram of pulse shape prediction model based on convolutional neural network[79]
Fig. 12. Network architecture used for optimization of carbon dioxide laser cutting tungsten alloy process parameters[84]
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