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What is European Journal of Mechanics about?

This paper introduces a deep autoencoder based energy method (DAEM) for analyzing the bending, vibration, and buckling of Kirchhoff plates, integrating deep learning techniques with traditional energy principles. The DAEM utilizes unsupervised learning to minimize total potential energy across generated collocation points, enhancing feature extraction and computational efficiency through transfer learning. The method is validated through various numerical examples, demonstrating its effectiveness in identif

Author

Lê Thị Nhẫn

Language

EN