Pages that link to "Item:Q2021083"
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The following pages link to Scale bridging materials physics: active learning workflows and integrable deep neural networks for free energy function representations in alloys (Q2021083):
Displaying 3 items.
- Machine learning materials physics: integrable deep neural networks enable scale bridging by learning free energy functions (Q1988102) (← links)
- Inside the black box: a physical basis for the effectiveness of deep generative models of amorphous materials (Q2133569) (← links)
- A heteroencoder architecture for prediction of failure locations in porous metals using variational inference (Q2160437) (← links)
