From the 1 of 3 linked papers with an AI index.
7 citations · 8 across the 3 of their papers we have counts for
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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…