From the 1 of 4 linked papers with an AI index.
24 citations · 32 across the 4 of their papers we have counts for
4 papers
Numerical modeling and simulation on nanosecond laser-target interactions
Jian Wu, Ying Zhou, Minxin Chen +1
Nanosecond lasers are widely used in industrial applications as they are relatively inexpensive, and their compactness and robustness are an advantage. Much experimental work has b…
Measurement of multiple mechanical properties from multi-dimensional signals in nanosecond laser ablation via PINN
Ying Zhou, Jian Wu, Ziyuan Song +6
The paper introduces a physics‑informed neural network that uses thermo‑mechanical coupling and multi‑modal laser‑ablation measurements to simultaneously infer several mechanical p…
Physics-informed genetic algorithms (PIGAs) facilitating LIBS spectral normalization with shockwave characteristics
Ying Zhou, Jian Wu, Mingxin Shi +6
Inspired by physics-informed neural networks (PINNs) inheriting both the interpretability of physical laws and the efficient integration capability of machine learning, we propose…
Coupling model of metallic target ablation-plasma evolution-radiation under nanosecond laser irradiation
Ying Zhou, Jian Wu, Hao Sun +8
The interaction of nanosecond laser pulses with metallic materials involves multiple complex physical processes. It is challenging to construct a self-consistent model capable of u…