Iwona M. Jasiuk

According to our database, Iwona M. Jasiuk authored at least 16 papers between 2015 and 2024.

Collaborative distances:

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

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

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

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

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

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

2021

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

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

2015

Multi-scale analysis of bone.

Iwona Jasiuk

Proceedings of the Conference on Summer Computer Simulation, 2015