7 citations · 8 across the 3 of their papers we have counts for
3 papers
physics.plasm-ph2026
Measurement of multiple mechanical properties from multi-dimensional signals in nanosecond laser ablation via PINN
Ying Zhou, Jian Wu, Ziyuan Song +6
Accurate evaluation of mechanical properties in steels under ageing or service conditions remains a major challenge. We propose a thermo-mechanical coupling framework for nanosecon…
physics.plasm-ph2026★ 7 cited
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…
physics.plasm-ph2026★ 1 cited
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…