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ORCIDDiab W. Abueidda
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Journal Articles
- 2024
[j2]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): 107258 (2024)- [j1]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): 917-929 (2024)
Informal and Other Publications
- 2024
- [i24]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 abs/2401.09977 (2024) - [i23]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 abs/2402.05460 (2024) - [i22]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 abs/2403.14788 (2024) - [i21]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 abs/2403.14795 (2024) - [i20]Diab W. Abueidda, Panos Pantidis, Mostafa E. Mobasher:
DeepOKAN: Deep Operator Network Based on Kolmogorov Arnold Networks for Mechanics Problems. CoRR abs/2405.19143 (2024) - [i19]Bilal Ahmed, Yuqing Qiu, Diab W. Abueidda, Waleed El-Sekelly, Borja Garcia de Soto, Tarek Abdoun, Mostafa E. Mobasher:
Physics-informed DeepONet with stiffness-based loss functions for structural response prediction. CoRR abs/2409.00994 (2024) - [i18]Jaewan Park, Shashank Kushwaha, Junyan He, Seid Koric, Qibang Liu, Iwona Jasiuk, Diab W. Abueidda:
Nonlinear Inverse Design of Mechanical Multi-Material Metamaterials Enabled by Video Denoising Diffusion and Structure Identifier. CoRR abs/2409.13908 (2024) - 2023
- [i17]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 abs/2303.10007 (2023) - [i16]Diab W. Abueidda, Mostafa E. Mobasher:
I-FENN for thermoelasticity based on physics-informed temporal convolutional network (PI-TCN). CoRR abs/2305.17799 (2023) - [i15]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 abs/2306.03645 (2023) - [i14]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 abs/2306.08218 (2023) - [i13]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 abs/2307.00986 (2023) - [i12]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 abs/2311.11500 (2023) - 2022
- [i11]Diab W. Abueidda, Seid Koric, Rashid K. Abu Al-Rub, Corey M. Parrott, Kai A. James, Nahil A. Sobh:
A deep learning energy method for hyperelasticity and viscoelasticity. CoRR abs/2201.08690 (2022) - [i10]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 abs/2201.09659 (2022) - [i9]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 abs/2205.06761 (2022) - [i8]Diab W. Abueidda, Seid Koric, Erman Guleryuz, Nahil A. Sobh:
Enhanced physics-informed neural networks for hyperelasticity. CoRR abs/2205.14148 (2022) - [i7]Junyan He, Shashank Kushwaha, Diab W. Abueidda, Iwona M. Jasiuk:
LatticeOPT: A heuristic topology optimization framework for thin-walled, 2D extruded lattices. CoRR abs/2205.14832 (2022) - [i6]Junyan He, Shashank Kushwaha, Charul Chadha, Seid Koric, Diab W. Abueidda, Iwona Jasiuk:
Deep energy method in topology optimization applications. CoRR abs/2207.03072 (2022) - [i5]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 abs/2207.07216 (2022) - [i4]Junyan He, Diab W. Abueidda, Rashid K. Abu Al-Rub, Seid Koric, Iwona Jasiuk:
A deep learning energy-based method for classical elastoplasticity. CoRR abs/2209.06467 (2022) - 2020
- [i3]Diab W. Abueidda, Seid Koric, Nahil A. Sobh:
Machine learning accelerated topology optimization of nonlinear structures. CoRR abs/2002.01896 (2020) - [i2]Diab W. Abueidda, Qiyue Lu, Seid Koric:
Deep learning collocation method for solid mechanics: Linear elasticity, hyperelasticity, and plasticity as examples. CoRR abs/2012.01547 (2020) - 2019
- [i1]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 abs/1906.00094 (2019)
Coauthor Index
aka: Iwona Jasiuk
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