laser ablation 1material property inversion 1non-contact characterization 1physics-informed neural networks 1thermo-mechanical coupling 1
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- Nanjing UniversityCN3 papers
- Collaborative Innovation Center of Advanced MicrostructuresCN2 papers
- Nanjing Normal UniversityCN2 papers
- Suzhou University of Science and TechnologyCN2 papers
- Xi'an Jiaotong UniversityCN2 papers
- Allen Institute for Artificial IntelligenceUS1 paper
- Astronomy and SpaceAU1 paper
- Broad InstituteUS1 paper
- Harbin Institute of TechnologyCN1 paper
- Harvard UniversityUS1 paper
- Harvard University PressUS1 paper
- Holon Institute of TechnologyIL1 paper
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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
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.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…