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: Uses convolutional neural networks (CNNs) to interpolate intermediate images and reconstruct 3D crack networks in materials like tantalum carbide, significantly increasing modeling efficiency.

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: Because it's hard to find thousands of real-world crack images for training, graphics engines are used to create synthetic crack datasets . These simulations match real-world physics, allowing AI to learn how cracks propagate before they even happen. 3. Graph Neural Networks (GNNs) : Uses convolutional neural networks (CNNs) to interpolate

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