Deep learning for topology optimization of 2D metamaterials von Kollmann, Hunter T., Abueidda, Diab W., Koric, Seid, Guleryuz, Erman, Sobh, Nahil A.

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Enhanced physics‐informed neural networks for hyperelasticity von Abueidda, Diab W., Koric, Seid, Guleryuz, Erman, Sobh, Nahil A.

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Dislocation Nucleation on Grain Boundaries: Low Angle Twist and Asymmetric Tilt Boundaries von Guleryuz, Erman, Mesarovic, Sinisa Dj

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Evaluation of massively parallel linear sparse solvers on unstructured finite element meshes von Koric, Seid, Lu, Qiyue, Guleryuz, Erman

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Improving the accuracy of the deep energy method von Chadha, Charul, He, Junyan, Abueidda, Diab, Koric, Seid, Guleryuz, Erman, Jasiuk, Iwona

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Surrogate neural network model for sensitivity analysis and uncertainty quantification of the mechanical behavior in the optical lens-barrel assembly von Shahane, Shantanu, Guleryuz, Erman, Abueidda, Diab W., Lee, Allen, Liu, Joe, Yu, Xin, Chiu, Raymond, Koric, Seid, Aluru, Narayana R., Ferreira, Placid M.

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Enhanced physics-informed neural networks for hyperelasticity von Abueidda, Diab W, Koric, Seid, Erman Guleryuz, Sobh, Nahil A

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Surrogate Neural Network Model for Sensitivity Analysis and Uncertainty Quantification of the Mechanical Behavior in the Optical Lens-Barrel Assembly von Shahane, Shantanu, Erman Guleryuz, Abueidda, Diab W, Lee, Allen, Liu, Joe, Yu, Xin, Chiu, Raymond, Koric, Seid, Aluru, Narayana R, Ferreira, Placid M

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