Diab W. Abueidda
Orcid: 0000000335942455
According to our database^{1},
Diab W. Abueidda
authored at least 24 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
Deep learning operator network for plastic deformation with variable loads and material properties.
Eng. Comput., April, 2024
Sequential Deep Operator Networks (SDeepONet) for predicting fullfield solutions under timedependent loads.
Eng. Appl. Artif. Intell., January, 2024
DeepOKAN: Deep Operator Network Based on Kolmogorov Arnold Networks for Mechanics Problems.
CoRR, 2024
Advanced Deep Operator Networks to Predict Multiphysics Solution Fields in Materials Processing and Additive Manufacturing.
CoRR, 2024
GeomDeepONet: A Pointcloudbased Deep Operator Network for Field Predictions on 3D Parameterized Geometries.
CoRR, 2024
IFENN with Temporal Convolutional Networks: expediting the loadhistory analysis of nonlocal gradient damage propagation.
CoRR, 2024
MaterialResponseInformed DeepONet and its Application to Polycrystal Stressstrain Prediction in Crystal Plasticity.
CoRR, 2024
2023
Multicomponent Predictions of Transient Solution Fields with Sequential Deep Operator Network.
CoRR, 2023
Effect of the crosssection architecture on the impact resistance of bioinspired lowporosity structures using neural networks.
CoRR, 2023
CoRR, 2023
Novel DeepONet architecture to predict stresses in elastoplastic structures with variable complex geometries and loads.
CoRR, 2023
IFENN for thermoelasticity based on physicsinformed temporal convolutional network (PITCN).
CoRR, 2023
CoRR, 2023
2022
CoRR, 2022
On the use of graph neural networks and shapefunctionbased gradient computation in the deep energy method.
CoRR, 2022
CoRR, 2022
LatticeOPT: A heuristic topology optimization framework for thinwalled, 2D extruded lattices.
CoRR, 2022
CoRR, 2022
Exploring the structureproperty relations of thinwalled, 2D extruded lattices using neural networks.
CoRR, 2022
Surrogate Neural Network Model for Sensitivity Analysis and Uncertainty Quantification of the Mechanical Behavior in the Optical LensBarrel Assembly.
CoRR, 2022
CoRR, 2022
2020
Deep learning collocation method for solid mechanics: Linear elasticity, hyperelasticity, and plasticity as examples.
CoRR, 2020
CoRR, 2020
2019
Prediction and optimization of mechanical properties of composites using convolutional neural networks.
CoRR, 2019