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Latent Diffusion Models for Structural Component Design
Specifically, we employ a Latent Diffusion model to generate potential designs of a component that can satisfy a set of problem-specific loading conditions.
3D Reconstruction of Protein Complex Structures Using Synthesized Multi-View AFM Images
These multi-view images can help train the neural network to predict the 3D structure of protein complexes.
Algorithmically-Consistent Deep Learning Frameworks for Structural Topology Optimization
We achieve this by training multiple networks, each learning a different step of the overall topology optimization methodology, making the framework more consistent with the topology optimization algorithm.
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