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Updated: Jul 27, 2025

Surrogate Model Development for Digital Experiments in Welding
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一个基于深度学习的泛化替代模型,用于使用材料属性编码和基于物理的界限进行同质化

Rajesh Nakka1, Dineshkumar Harursampath1, Sathiskumar A Ponnusami2

  • 1NMCAD Laboratory, Department of Aerospace Engineering, Indian Institute of Science, Bengaluru, Karnataka, India.

Scientific reports
|June 5, 2023
PubMed
概括

一种新方法为卷积神经网络 (CNN) 将材料属性编码为微观结构图像. 这增强了CNN用于预测复合材料特性,提高了准确性和物理可接受性.

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