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)

Machine learning accelerated topology optimization of nonlinear structures. - Diab W. Abueidda; Seid Koric; Nahil A. Sobh (CoRR, 2020)

Deep learning collocation method for solid mechanics: Linear elasticity, hyperelasticity, and plasticity as examples. - Diab W. Abueidda; Qiyue Lu; Seid Koric (CoRR, 2020)

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)

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)

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)

Enhanced physics-informed neural networks for hyperelasticity. - Diab W. Abueidda; Seid Koric; Erman Guleryuz; Nahil A. Sobh (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)

Deep energy method in topology optimization applications. - Junyan He; Shashank Kushwaha; Charul Chadha; Seid Koric; Diab W. Abueidda; 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)

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)

Gyroid-like metamaterials: Topology optimization and Deep Learning. - Asha Viswanath; Diab W. Abueidda; Mohamad Modrek; Kamran Ahmed Khan; Seid Koric; Rashid K. Abu Al-Rub (CoRR, 2023)

I-FENN for thermoelasticity based on physics-informed temporal convolutional network (PI-TCN). - Diab W. Abueidda; Mostafa E. Mobasher (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)

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)

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)

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)

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)

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)

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)

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)

DeepOKAN: Deep Operator Network Based on Kolmogorov Arnold Networks for Mechanics Problems. - Diab W. Abueidda; Panos Pantidis; Mostafa E. Mobasher (CoRR, 2024)

Physics-informed DeepONet with stiffness-based loss functions for structural response prediction. - Bilal Ahmed; Yuqing Qiu; Diab W. Abueidda; Waleed El-Sekelly; Borja Garcia de Soto; Tarek Abdoun; Mostafa E. Mobasher (CoRR, 2024)

Nonlinear Inverse Design of Mechanical Multi-Material Metamaterials Enabled by Video Denoising Diffusion and Structure Identifier. - Jaewan Park; Shashank Kushwaha; Junyan He; Seid Koric; Qibang Liu; Iwona Jasiuk; Diab W. Abueidda (CoRR, 2024)

Virtual Sensing for Real-Time Degradation Monitoring of Nuclear Systems: Leveraging DeepONet for Enhanced Sensing Coverage for Digital Twin-Enabling Technology. - Raisa Bentay Hossain; Farid Ahmed; Kazuma Kobayashi; Seid Koric; Diab W. Abueidda; Syed Bahauddin Alam (CoRR, 2024)

Univariate Conditional Variational Autoencoder for Morphogenic Patterns Design in Frontal Polymerization-Based Manufacturing. - Qibang Liu; Pengfei Cai; Diab W. Abueidda; Sagar Vyas; Seid Koric; Rafael Gómez-Bombarelli; Philippe H. Geubelle (CoRR, 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., 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 Ahmed Khan (Eng. Comput., 2024)

Physics-informed deep operator networks with stiffness-based loss functions for structural response prediction. - Bilal Ahmed; Yuqing Qiu; Diab W. Abueidda; Waleed El-Sekelly; Borja Garcia de Soto; Tarek Abdoun; Mostafa E. Mobasher (Eng. Appl. Artif. Intell., 2025)

Geometry-Informed Neural Operator Transformer. - Qibang Liu; Vincient Zhong; Hadi Meidani; Diab W. Abueidda; Seid Koric; Philippe H. Geubelle (CoRR, 2025)

Physics-informed Multiple-Input Operators for efficient dynamic response prediction of structures. - Bilal Ahmed; Yuqing Qiu; Diab W. Abueidda; Waleed El-Sekelly; Tarek Abdoun; Mostafa E. Mobasher (CoRR, 2025)

Integrated Finite Element Neural Network (IFENN) for Phase-Field Fracture with Minimal Input and Generalized Geometry-Load Handling. - Panos Pantidis; Lampros Svolos; Diab W. Abueidda; Mostafa E. Mobasher (CoRR, 2025)

From Proxies to Fields: Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences. - Kazuma Kobayashi; Samrendra Roy; Seid Koric; Diab W. Abueidda; Syed Bahauddin Alam (CoRR, 2025)

Time Resolution Independent Operator Learning. - Diab W. Abueidda; Mbebo Nonna; Panos Pantidis; Mostafa E. Mobasher (CoRR, 2025)

When Network Architecture Meets Physics: Deep Operator Learning for Coupled Multiphysics. - Kazuma Kobayashi; Jaewan Park; Qibang Liu; Seid Koric; Diab W. Abueidda; Syed Bahauddin Alam (CoRR, 2025)

Bridging Sequential Deep Operator Network and Video Diffusion: Residual Refinement of Spatio-Temporal PDE Solutions. - Jaewan Park; Farid Ahmed; Kazuma Kobayashi; Seid Koric; Syed Bahauddin Alam; Iwona Jasiuk; Diab W. Abueidda (CoRR, 2025)