[12p-B410-1~16] 3.7 Laser processing

△ [12p-B410-16] A Deep Learning Approach for Predicting the Temporal Evolution of Glass under Laser Irradiation

〇(M2)Kohei Shimahara¹, Yohei Kobayashi¹, Shuntaro Tani¹ (1.ISSP, Univ. Tokyo)

Keywords:Deep Learning, Neural Network, Glass

Our goal is to design a laser micromachining simulator for glass which requires less computational resources and has a broader input parameter range than conventional simulators, using deep learning. In this presentation I will report on a deep learning-based simulator that can predict the temporal evolution of a glass channel under multiple ultrashort laser pulse irradiation.