Multi-scale analysis of bone. - Iwona Jasiuk (SummerSim, 2015)

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)

High-Performance Computing Comparison of Implicit and Explicit Nonlinear Finite Element Simulations of Trabecular Bone. - Fereshteh A. Sabet; Seid Koric; Ashraf Idkaidek; Iwona Jasiuk (Comput. Methods Programs Biomed., 2021)

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)

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)

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)

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)

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)

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)

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)