Presentation Information
[17p-PA3-3]Ablation-Assisted Laser Fabrication of Optical Diffusers Predicted by Machine Learning
Ryoma Kawaoto1, Tomotaro Namba1, 〇Yukiyoshi Ohtsuki1, Feng Yan2, Takashi Nakajima2 (1.Tohoku Univ., 2.Kyoto Univ.)
Keywords:
machine learning,laser fabrication,optical diffuser
We predict ablation-assisted nanosecond far infrared laser fabrication of glass optical diffusers by using machine learning models. In the present indirect machining, the ns laser pulses are applied to metal substrates to produce ablation fragments, whereby the glass substrates are fabricated to make optical diffusers. Fully connected neural network models are shown to semi-quantitatively predict the properties of the optical diffusers even though the two completely different interactions are involved in the fabrication.