Diab W. Abueidda

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Top Venues

Eng. Appl. Artif. Intell.

Publications

Shashank Kushwaha, Jaewan Park, Seid Koric, Junyan He, Iwona Jasiuk, Diab W. Abueidda
Advanced Deep Operator Networks to Predict Multiphysics Solution Fields in Materials Processing and Additive Manufacturing. CoRR (2024)
Panos Pantidis, Habiba Eldababy, Diab W. Abueidda, Mostafa E. Mobasher
I-FENN with Temporal Convolutional Networks: expediting the load-history analysis of non-local gradient damage propagation. CoRR (2024)
Seid Koric, Asha Viswantah, Diab W. Abueidda, Nahil A. Sobh, Kamran A Khan
Deep learning operator network for plastic deformation with variable loads and material properties. Eng. Comput. 40 (2) (2024)
Junyan He, Seid Koric, Diab W. Abueidda, Ali Najafi, Iwona Jasiuk
Geom-DeepONet: A Point-cloud-based Deep Operator Network for Field Predictions on 3D Parameterized Geometries. CoRR (2024)
Junyan He, Deepankar Pal, Ali Najafi, Diab W. Abueidda, Seid Koric, Iwona Jasiuk
Material-Response-Informed DeepONet and its Application to Polycrystal Stress-strain Prediction in Crystal Plasticity. CoRR (2024)
Junyan He, Shashank Kushwaha, Jaewan Park, Seid Koric, Diab W. Abueidda, Iwona Jasiuk
Sequential Deep Operator Networks (S-DeepONet) for predicting full-field solutions under time-dependent loads. Eng. Appl. Artif. Intell. 127 (Part A) (2024)
Diab W. Abueidda, Panos Pantidis, Mostafa E. Mobasher
DeepOKAN: Deep Operator Network Based on Kolmogorov Arnold Networks for Mechanics Problems. CoRR (2024)
Jaewan Park, Shashank Kushwaha, Junyan He, Seid Koric, Diab W. Abueidda, Iwona Jasiuk
Sequential Deep Learning Operator Network (S-DeepONet) for Time-Dependent Loads. CoRR (2023)
Asha Viswanath, Diab W. Abueidda, Mohamad Modrek, Kamran A Khan, Seid Koric, Rashid K. Abu Al-Rub
Gyroid-like metamaterials: Topology optimization and Deep Learning. CoRR (2023)
Shashank Kushwaha, Junyan He, Diab W. Abueidda, Iwona Jasiuk
Effect of the cross-section architecture on the impact resistance of bio-inspired low-porosity structures using neural networks. CoRR (2023)
Diab W. Abueidda, Mostafa E. Mobasher
I-FENN for thermoelasticity based on physics-informed temporal convolutional network (PI-TCN). CoRR (2023)
Junyan He, Seid Koric, Shashank Kushwaha, Jaewan Park, Diab W. Abueidda, Iwona Jasiuk
Novel DeepONet architecture to predict stresses in elastoplastic structures with variable complex geometries and loads. CoRR (2023)
Junyan He, Shashank Kushwaha, Jaewan Park, Seid Koric, Diab W. Abueidda, Iwona Jasiuk
Multi-component Predictions of Transient Solution Fields with Sequential Deep Operator Network. CoRR (2023)
Junyan He, Diab W. Abueidda, Rashid Abu Al-Rub, Seid Koric, Iwona Jasiuk
A deep learning energy-based method for classical elastoplasticity. CoRR (2022)
Shantanu Shahane, Erman Guleryuz, Diab W. Abueidda, Allen Lee, Joe Liu, Xin Yu, Raymond Chiu, Seid Koric, Narayana R. Aluru, Placid M. Ferreira
Surrogate Neural Network Model for Sensitivity Analysis and Uncertainty Quantification of the Mechanical Behavior in the Optical Lens-Barrel Assembly. CoRR (2022)
Diab W. Abueidda, Seid Koric, Rashid Abu Al-Rub, Corey M. Parrott, Kai A. James, Nahil A. Sobh
A deep learning energy method for hyperelasticity and viscoelasticity. CoRR (2022)
Junyan He, Shashank Kushwaha, Diab W. Abueidda, Iwona M. Jasiuk
LatticeOPT: A heuristic topology optimization framework for thin-walled, 2D extruded lattices. CoRR (2022)
Diab W. Abueidda, Seid Koric, Erman Guleryuz, Nahil A. Sobh
Enhanced physics-informed neural networks for hyperelasticity. CoRR (2022)
Junyan He, Diab W. Abueidda, Seid Koric, Iwona Jasiuk
On the use of graph neural networks and shape-function-based gradient computation in the deep energy method. CoRR (2022)
Junyan He, Shashank Kushwaha, Charul Chadha, Seid Koric, Diab W. Abueidda, Iwona Jasiuk
Deep energy method in topology optimization applications. CoRR (2022)
Junyan He, Shashank Kushwaha, Diab W. Abueidda, Iwona M. Jasiuk
Exploring the structure-property relations of thin-walled, 2D extruded lattices using neural networks. CoRR (2022)
Diab W. Abueidda, Seid Koric, Nahil A. Sobh
Machine learning accelerated topology optimization of nonlinear structures. CoRR (2020)
Diab W. Abueidda, Qiyue Lu, Seid Koric
Deep learning collocation method for solid mechanics: Linear elasticity, hyperelasticity, and plasticity as examples. CoRR (2020)
Diab W. Abueidda, Mohammad Almasri, Rami Ammourah, Umberto Ravaioli, Iwona M. Jasiuk, Nahil A. Sobh
Prediction and optimization of mechanical properties of composites using convolutional neural networks. CoRR (2019)