Diab W. Abueidda

40 papers Journal 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Nonlinear inverse design of mechanical multi-material metamaterials enabled by video denoising diffusion and structure identifier. Eng. Appl. Artif. Intell. Jaewan Park, Shashank Kushwaha, Junyan He, Seid Koric, Qibang Liu, Iwona Jasiuk, Diab W. Abueidda
2025	J	`jnl`	A comprehensive comparison of neural operators for 3D industry-scale engineering designs. CoRR Weiheng Zhong, Qibang Liu, Diab W. Abueidda, Seid Koric, Hadi Meidani
2025	J	`jnl`	Bridging Sequential Deep Operator Network and Video Diffusion: Residual Refinement of Spatio-Temporal PDE Solutions. CoRR Jaewan Park, Farid Ahmed, Kazuma Kobayashi, Seid Koric, Syed Bahauddin Alam, Iwona Jasiuk, Diab W. Abueidda
2025	J	`jnl`	From Proxies to Fields: Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences. CoRR Kazuma Kobayashi, Samrendra Roy, Seid Koric, Diab W. Abueidda, Syed Bahauddin Alam
2025	J	`jnl`	Geometry-Informed Neural Operator Transformer. CoRR Qibang Liu, Vincient Zhong, Hadi Meidani, Diab W. Abueidda, Seid Koric, Philippe H. Geubelle
2025	J	`jnl`	I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems. CoRR Fouad M. Amin, Diab W. Abueidda, Panos Pantidis, Mostafa E. Mobasher
2025	J	`jnl`	Integrated Finite Element Neural Network (IFENN) for Phase-Field Fracture with Minimal Input and Generalized Geometry-Load Handling. CoRR Panos Pantidis, Lampros Svolos, Diab W. Abueidda, Mostafa E. Mobasher
2025	J	`jnl`	Physics-informed Multiple-Input Operators for efficient dynamic response prediction of structures. CoRR Bilal Ahmed, Yuqing Qiu, Diab W. Abueidda, Waleed El-Sekelly, Tarek Abdoun, Mostafa E. Mobasher
2025	J	`jnl`	Physics-informed Multiple-Input Operators for efficient dynamic response prediction of structures. Eng. Appl. Artif. Intell. Bilal Ahmed, Yuqing Qiu, Diab W. Abueidda, Waleed El-Sekelly, Tarek Abdoun, Mostafa E. Mobasher
2025	J	`jnl`	Physics-informed deep operator networks with stiffness-based loss functions for structural response prediction. Eng. Appl. Artif. Intell. Bilal Ahmed, Yuqing Qiu, Diab W. Abueidda, Waleed El-Sekelly, Borja Garcia de Soto, Tarek Abdoun, Mostafa E. Mobasher
2025	J	`jnl`	Time Resolution Independent Operator Learning. CoRR Diab W. Abueidda, Mbebo Nonna, Panos Pantidis, Mostafa E. Mobasher
2025	J	`jnl`	When Network Architecture Meets Physics: Deep Operator Learning for Coupled Multiphysics. CoRR Kazuma Kobayashi, Jaewan Park, Qibang Liu, Seid Koric, Diab W. Abueidda, Syed Bahauddin Alam
2024	J	`jnl`	Advanced Deep Operator Networks to Predict Multiphysics Solution Fields in Materials Processing and Additive Manufacturing. CoRR Shashank Kushwaha, Jaewan Park, Seid Koric, Junyan He, Iwona Jasiuk, Diab W. Abueidda
2024	J	`jnl`	Deep learning operator network for plastic deformation with variable loads and material properties. Eng. Comput. Seid Koric, Asha Viswanath, Diab W. Abueidda, Nahil A. Sobh, Kamran Ahmed Khan
2024	J	`jnl`	DeepOKAN: Deep Operator Network Based on Kolmogorov Arnold Networks for Mechanics Problems. CoRR Diab W. Abueidda, Panos Pantidis, Mostafa E. Mobasher
2024	J	`jnl`	Geom-DeepONet: A Point-cloud-based Deep Operator Network for Field Predictions on 3D Parameterized Geometries. CoRR Junyan He, Seid Koric, Diab W. Abueidda, Ali Najafi, Iwona Jasiuk
2024	J	`jnl`	I-FENN with Temporal Convolutional Networks: expediting the load-history analysis of non-local gradient damage propagation. CoRR Panos Pantidis, Habiba Eldababy, Diab W. Abueidda, Mostafa E. Mobasher
2024	J	`jnl`	Material-Response-Informed DeepONet and its Application to Polycrystal Stress-strain Prediction in Crystal Plasticity. CoRR Junyan He, Deepankar Pal, Ali Najafi, Diab W. Abueidda, Seid Koric, Iwona Jasiuk
2024	J	`jnl`	Nonlinear Inverse Design of Mechanical Multi-Material Metamaterials Enabled by Video Denoising Diffusion and Structure Identifier. CoRR Jaewan Park, Shashank Kushwaha, Junyan He, Seid Koric, Qibang Liu, Iwona Jasiuk, Diab W. Abueidda
2024	J	`jnl`	Physics-informed DeepONet with stiffness-based loss functions for structural response prediction. CoRR Bilal Ahmed, Yuqing Qiu, Diab W. Abueidda, Waleed El-Sekelly, Borja Garcia de Soto, Tarek Abdoun, Mostafa E. Mobasher
2024	J	`jnl`	Sequential Deep Operator Networks (S-DeepONet) for predicting full-field solutions under time-dependent loads. Eng. Appl. Artif. Intell. Junyan He, Shashank Kushwaha, Jaewan Park, Seid Koric, Diab W. Abueidda, Iwona Jasiuk
2024	J	`jnl`	Univariate Conditional Variational Autoencoder for Morphogenic Patterns Design in Frontal Polymerization-Based Manufacturing. CoRR Qibang Liu, Pengfei Cai, Diab W. Abueidda, Sagar Vyas, Seid Koric, Rafael Gómez-Bombarelli, Philippe H. Geubelle
2024	J	`jnl`	Virtual Sensing for Real-Time Degradation Monitoring of Nuclear Systems: Leveraging DeepONet for Enhanced Sensing Coverage for Digital Twin-Enabling Technology. CoRR Raisa Bentay Hossain, Farid Ahmed, Kazuma Kobayashi, Seid Koric, Diab W. Abueidda, Syed Bahauddin Alam
2023	J	`jnl`	Effect of the cross-section architecture on the impact resistance of bio-inspired low-porosity structures using neural networks. CoRR Shashank Kushwaha, Junyan He, Diab W. Abueidda, Iwona Jasiuk
2023	J	`jnl`	Gyroid-like metamaterials: Topology optimization and Deep Learning. CoRR Asha Viswanath, Diab W. Abueidda, Mohamad Modrek, Kamran Ahmed Khan, Seid Koric, Rashid K. Abu Al-Rub
2023	J	`jnl`	I-FENN for thermoelasticity based on physics-informed temporal convolutional network (PI-TCN). CoRR Diab W. Abueidda, Mostafa E. Mobasher
2023	J	`jnl`	Multi-component Predictions of Transient Solution Fields with Sequential Deep Operator Network. CoRR Junyan He, Shashank Kushwaha, Jaewan Park, Seid Koric, Diab W. Abueidda, Iwona Jasiuk
2023	J	`jnl`	Novel DeepONet architecture to predict stresses in elastoplastic structures with variable complex geometries and loads. CoRR Junyan He, Seid Koric, Shashank Kushwaha, Jaewan Park, Diab W. Abueidda, Iwona Jasiuk
2023	J	`jnl`	Sequential Deep Learning Operator Network (S-DeepONet) for Time-Dependent Loads. CoRR Jaewan Park, Shashank Kushwaha, Junyan He, Seid Koric, Diab W. Abueidda, Iwona Jasiuk
2022	J	`jnl`	A deep learning energy method for hyperelasticity and viscoelasticity. CoRR Diab W. Abueidda, Seid Koric, Rashid K. Abu Al-Rub, Corey M. Parrott, Kai A. James, Nahil A. Sobh
2022	J	`jnl`	A deep learning energy-based method for classical elastoplasticity. CoRR Junyan He, Diab W. Abueidda, Rashid K. Abu Al-Rub, Seid Koric, Iwona Jasiuk
2022	J	`jnl`	Deep energy method in topology optimization applications. CoRR Junyan He, Shashank Kushwaha, Charul Chadha, Seid Koric, Diab W. Abueidda, Iwona Jasiuk
2022	J	`jnl`	Enhanced physics-informed neural networks for hyperelasticity. CoRR Diab W. Abueidda, Seid Koric, Erman Guleryuz, Nahil A. Sobh
2022	J	`jnl`	Exploring the structure-property relations of thin-walled, 2D extruded lattices using neural networks. CoRR Junyan He, Shashank Kushwaha, Diab W. Abueidda, Iwona M. Jasiuk
2022	J	`jnl`	LatticeOPT: A heuristic topology optimization framework for thin-walled, 2D extruded lattices. CoRR Junyan He, Shashank Kushwaha, Diab W. Abueidda, Iwona M. Jasiuk
2022	J	`jnl`	On the use of graph neural networks and shape-function-based gradient computation in the deep energy method. CoRR Junyan He, Diab W. Abueidda, Seid Koric, Iwona Jasiuk
2022	J	`jnl`	Surrogate Neural Network Model for Sensitivity Analysis and Uncertainty Quantification of the Mechanical Behavior in the Optical Lens-Barrel Assembly. CoRR Shantanu Shahane, Erman Guleryuz, Diab W. Abueidda, Allen Lee, Joe Liu, Xin Yu, Raymond Chiu, Seid Koric, Narayana R. Aluru, Placid M. Ferreira
2020	J	`jnl`	Deep learning collocation method for solid mechanics: Linear elasticity, hyperelasticity, and plasticity as examples. CoRR Diab W. Abueidda, Qiyue Lu, Seid Koric
2020	J	`jnl`	Machine learning accelerated topology optimization of nonlinear structures. CoRR Diab W. Abueidda, Seid Koric, Nahil A. Sobh
2019	J	`jnl`	Prediction and optimization of mechanical properties of composites using convolutional neural networks. CoRR Diab W. Abueidda, Mohammad Almasri, Rami Ammourah, Umberto Ravaioli, Iwona M. Jasiuk, Nahil A. Sobh