Diab W. Abueidda

According to our database, Diab W. Abueidda authored at least 24 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep learning operator network for plastic deformation with variable loads and material properties.

Seid Koric, Asha Viswantah, Diab W. Abueidda, Nahil A. Sobh, Kamran A Khan

Eng. Comput., April, 2024

Sequential Deep Operator Networks (S-DeepONet) for predicting full-field solutions under time-dependent loads.

Junyan He, Shashank Kushwaha, Jaewan Park, Seid Koric, Diab W. Abueidda, Iwona Jasiuk

Eng. Appl. Artif. Intell., January, 2024

DeepOKAN: Deep Operator Network Based on Kolmogorov Arnold Networks for Mechanics Problems.

Diab W. Abueidda, Panos Pantidis, Mostafa E. Mobasher

CoRR, 2024

Advanced Deep Operator Networks to Predict Multiphysics Solution Fields in Materials Processing and Additive Manufacturing.

Shashank Kushwaha, Jaewan Park, Seid Koric, Junyan He, Iwona Jasiuk, Diab W. Abueidda

CoRR, 2024

Geom-DeepONet: A Point-cloud-based Deep Operator Network for Field Predictions on 3D Parameterized Geometries.

Junyan He, Seid Koric, Diab W. Abueidda, Ali Najafi, Iwona Jasiuk

CoRR, 2024

I-FENN with Temporal Convolutional Networks: expediting the load-history analysis of non-local gradient damage propagation.

Panos Pantidis, Habiba Eldababy, Diab W. Abueidda, Mostafa E. Mobasher

CoRR, 2024

Material-Response-Informed DeepONet and its Application to Polycrystal Stress-strain Prediction in Crystal Plasticity.

Junyan He, Deepankar Pal, Ali Najafi, Diab W. Abueidda, Seid Koric, Iwona Jasiuk

CoRR, 2024

2023

Multi-component Predictions of Transient Solution Fields with Sequential Deep Operator Network.

Junyan He, Shashank Kushwaha, Jaewan Park, Seid Koric, Diab W. Abueidda, Iwona Jasiuk

CoRR, 2023

Effect of the cross-section architecture on the impact resistance of bio-inspired low-porosity structures using neural networks.

Shashank Kushwaha, Junyan He, Diab W. Abueidda, Iwona Jasiuk

CoRR, 2023

Sequential Deep Learning Operator Network (S-DeepONet) for Time-Dependent Loads.

Jaewan Park, Shashank Kushwaha, Junyan He, Seid Koric, Diab W. Abueidda, Iwona Jasiuk

CoRR, 2023

Novel DeepONet architecture to predict stresses in elastoplastic structures with variable complex geometries and loads.

Junyan He, Seid Koric, Shashank Kushwaha, Jaewan Park, Diab W. Abueidda, Iwona Jasiuk

CoRR, 2023

I-FENN for thermoelasticity based on physics-informed temporal convolutional network (PI-TCN).

Diab W. Abueidda, Mostafa E. Mobasher

CoRR, 2023

Gyroid-like metamaterials: Topology optimization and Deep Learning.

Asha Viswanath, Diab W. Abueidda, Mohamad Modrek, Kamran A Khan, Seid Koric, Rashid K. Abu Al-Rub

CoRR, 2023

2022

A deep learning energy-based method for classical elastoplasticity.

Junyan He, Diab W. Abueidda, Rashid K. Abu Al-Rub, Seid Koric, Iwona Jasiuk

CoRR, 2022

On the use of graph neural networks and shape-function-based gradient computation in the deep energy method.

Junyan He, Diab W. Abueidda, Seid Koric, Iwona Jasiuk

CoRR, 2022

Deep energy method in topology optimization applications.

Junyan He, Shashank Kushwaha, Charul Chadha, Seid Koric, Diab W. Abueidda, Iwona Jasiuk

CoRR, 2022

LatticeOPT: A heuristic topology optimization framework for thin-walled, 2D extruded lattices.

Junyan He, Shashank Kushwaha, Diab W. Abueidda, Iwona M. Jasiuk

CoRR, 2022

Enhanced physics-informed neural networks for hyperelasticity.

Diab W. Abueidda, Seid Koric, Erman Guleryuz, Nahil A. Sobh

CoRR, 2022

Exploring the structure-property relations of thin-walled, 2D extruded lattices using neural networks.

Junyan He, Shashank Kushwaha, Diab W. Abueidda, Iwona M. Jasiuk

CoRR, 2022

Surrogate Neural Network Model for Sensitivity Analysis and Uncertainty Quantification of the Mechanical Behavior in the Optical Lens-Barrel Assembly.

Shantanu Shahane, Erman Guleryuz, Diab W. Abueidda, Allen Lee, Joe Liu, Xin Yu, Raymond Chiu, Seid Koric, Narayana R. Aluru, Placid M. Ferreira

CoRR, 2022

A deep learning energy method for hyperelasticity and viscoelasticity.

Diab W. Abueidda, Seid Koric, Rashid K. Abu Al-Rub, Corey M. Parrott, Kai A. James, Nahil A. Sobh

CoRR, 2022

2020

Deep learning collocation method for solid mechanics: Linear elasticity, hyperelasticity, and plasticity as examples.

Diab W. Abueidda, Qiyue Lu, Seid Koric

CoRR, 2020

Machine learning accelerated topology optimization of nonlinear structures.

Diab W. Abueidda, Seid Koric, Nahil A. Sobh

CoRR, 2020

2019

Prediction and optimization of mechanical properties of composites using convolutional neural networks.

Diab W. Abueidda, Mohammad Almasri, Rami Ammourah, Umberto Ravaioli, Iwona M. Jasiuk, Nahil A. Sobh

CoRR, 2019