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Updated: Jul 23, 2025

Characterization of Surface Modifications by White Light Interferometry: Applications in Ion Sputtering, Laser Ablation, and Tribology Experiments
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Characterization of Surface Modifications by White Light Interferometry: Applications in Ion Sputtering, Laser Ablation, and Tribology Experiments

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基于物理信息的机器学习的削表面粗度预测

Shi Zeng1, Dechang Pi1

  • 1College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
概括

本研究引入了基于物理的深度学习方法 (PIDL),用于精确预测机械产品的表面粗度. 通过整合物理定律,该模型可以提高概括性,避免违反物理约束,提高预测可靠性.

关键词:
双向封闭的循环单元.机制模型的机制模型.物理导向的损失函数.基于物理的深度学习.

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