lamm-mit/FieldPredictorGAN
Deep learning model to predict complex stress and strain fields in hierarchical composites
This project helps materials scientists and engineers rapidly assess the physical performance of new hierarchical materials designs. By inputting images of a material's microstructure geometry, it quickly predicts complex stress and strain fields. This allows researchers to evaluate material properties and behavior without time-consuming simulations or experiments.
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Use this if you need to quickly evaluate the mechanical stress or strain fields of new hierarchical composite material designs based on their geometric microstructure.
Not ideal if you need to model material behavior for non-hierarchical structures or require highly customized simulation parameters beyond what pre-trained models cover.
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Language
Python
License
MIT
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Last pushed
Apr 23, 2023
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