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2020 – today
- 2024
[j6]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)- [j5]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]Raisa Bentay Hossain, Farid Ahmed, Kazuma Kobayashi, Seid Koric, Diab W. Abueidda, Syed Bahauddin Alam:
Virtual Sensing for Real-Time Degradation Monitoring of Nuclear Systems: Leveraging DeepONet for Enhanced Sensing Coverage for Digital Twin-Enabling Technology. CoRR abs/2410.13762 (2024) - [i15]Qibang Liu, Pengfei Cai, Diab W. Abueidda, Sagar Vyas, Seid Koric, Rafael Gómez-Bombarelli, Philippe H. Geubelle:
Univariate Conditional Variational Autoencoder for Morphogenic Patterns Design in Frontal Polymerization-Based Manufacturing. CoRR abs/2410.17518 (2024) - 2023
- [c8]Yuhang Fu, Weiqi Shen, Jiahuan Cui, Yao Zheng, Guangwen Yang, Zhao Liu, Jifa Zhang, Tingwei Ji, Fangfang Xie, Xiaojing Lv, Hanyue Liu, Xu Liu, Xiyang Liu, Xiaoyu Song, Guocheng Tao, Yan Yan, Paul Tucker, Steven A. E. Miller, Shirui Luo, Seid Koric, Weimin Zheng:
Toward Exascale Computation for Turbomachinery Flows. SC 2023: 4:1-4:12 - [c7]Suresh Marru, Marlon E. Pierce, Beth Plale, Sudhakar Pamidighantam, Dimuthu Wannipurage, Marcus Christie, Isuru Ranawaka, Eroma Abeysinghe, Rob Quick, Emad Tajkhorshid, Seid Koric, Jim Basney, Mariano Spivak, Barry Isralewitz, Rafael C. Bernardi, Diego Gomes, Giri P. Krishnan, Maxim Bazhenov, Shava Smallen, Amit Majumdar, Anton Arkhipov, Kael Dai, Xiao-Ping Liu, Kenneth Yoshimoto:
Cybershuttle: An End-to-End Cyberinfrastructure Continuum to Accelerate Discovery in Science and Engineering. PEARC 2023: 26-34 - [i14]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) - [i13]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) - [i12]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) - [i11]Yuhang Fu, Weiqi Shen, Jiahuan Cui, Yao Zheng, Guangwen Yang, Zhao Liu, Jifa Zhang, Tingwei Ji, Fangfang Xie, Xiaojing Lv, Hanyue Liu, Xu Liu, Xiyang Liu, Xiaoyu Song, Guocheng Tao, Yan Yan, Paul Tucker, Steven A. E. Miller, Shirui Luo, Seid Koric, Weimin Zheng:
Towards Exascale Computation for Turbomachinery Flows. CoRR abs/2308.06605 (2023) - [i10]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
- [i9]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) - [i8]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) - [i7]Diab W. Abueidda, Seid Koric, Erman Guleryuz, Nahil A. Sobh:
Enhanced physics-informed neural networks for hyperelasticity. CoRR abs/2205.14148 (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) - 2021
- [j4]Fereshteh A. Sabet, Seid Koric, Ashraf Idkaidek, Iwona Jasiuk:
High-Performance Computing Comparison of Implicit and Explicit Nonlinear Finite Element Simulations of Trabecular Bone. Comput. Methods Programs Biomed. 200: 105870 (2021) - [c6]Shirui Luo, Jiahuan Cui, Vignesh Sella, Jian Liu, Seid Koric, Volodymyr V. Kindratenko:
Turbomachinery Blade Surrogate Modeling Using Deep Learning. ISC Workshops 2021: 92-104 - 2020
- [j3]Eliu A. Huerta, Asad Khan, Edward Davis, Colleen Bushell, William D. Gropp, Daniel S. Katz, Volodymyr V. Kindratenko, Seid Koric, William T. C. Kramer, Brendan McGinty, Kenton McHenry, Aaron Saxton:
Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure. J. Big Data 7(1): 88 (2020) - [c5]François-Henry Rouet, Cleve Ashcraft, Jef Dawson, Roger Grimes, Erman Guleryuz, Seid Koric, Robert F. Lucas, James S. Ong, Todd A. Simons, Ting-Ting Zhu:
Scalability Challenges of an Industrial Implicit Finite Element Code. IPDPS 2020: 505-514 - [c4]Shirui Luo, Madhu Vellakal, Seid Koric, Volodymyr V. Kindratenko, Jiahuan Cui:
Parameter Identification of RANS Turbulence Model Using Physics-Embedded Neural Network. ISC Workshops 2020: 137-149 - [i3]Diab W. Abueidda, Seid Koric, Nahil A. Sobh:
Machine learning accelerated topology optimization of nonlinear structures. CoRR abs/2002.01896 (2020) - [i2]Eliu A. Huerta, Asad Khan, Edward Davis, Colleen Bushell, William D. Gropp, Daniel S. Katz, Volodymyr V. Kindratenko, Seid Koric, William T. C. Kramer, Brendan McGinty, Kenton McHenry, Aaron Saxton:
Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure. CoRR abs/2003.08394 (2020) - [i1]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)
2010 – 2019
- 2016
- [j2]Vladimir Puzyrev, Seid Koric, Scott Wilkin:
Evaluation of parallel direct sparse linear solvers in electromagnetic geophysical problems. Comput. Geosci. 89: 79-87 (2016) - [j1]Mariano Vázquez, Guillaume Houzeaux, Seid Koric, Antoni Artigues, Jazmin Aguado-Sierra, Ruth Aris, Daniel Mira, Hadrien Calmet, Fernando M. Cucchietti, Herbert Coppola-Owen, Ahmed Taha, Evan Dering Burness, José María Cela, Mateo Valero:
Alya: Multiphysics engineering simulation toward exascale. J. Comput. Sci. 14: 15-27 (2016) - [c3]Anshul Gupta, Natalia Gimelshein, Seid Koric, Steven C. Rennich:
Effective Minimally-Invasive GPU Acceleration of Distributed Sparse Matrix Factorization. Euro-Par 2016: 672-683 - 2014
- [c2]Galen Wesley Arnold, Manisha Gajbe, Seid Koric, John Urbanic:
XSEDE OpenACC workshop enables Blue Waters Researchers to Accelerate Key Algorithms. XSEDE 2014: 28:1-28:6
2000 – 2009
- 2009
- [c1]Anshul Gupta, Seid Koric, Thomas George:
Sparse matrix factorization on massively parallel computers. SC 2009
Coauthor Index
aka: Iwona Jasiuk
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