Seid Koric

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 29

Top Topics

Top Venues

Publications

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 (2024)
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) (2024)
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 (2024)
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 (2024)
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) (2024)
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)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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)
Junyan He, Diab W. Abueidda, Rashid Abu Al-Rub, Seid Koric, Iwona Jasiuk
A deep learning energy-based method for classical elastoplasticity. CoRR (2022)
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 (2022)
Diab W. Abueidda, Seid Koric, Rashid Abu Al-Rub, Corey M. Parrott, Kai A. James, Nahil A. Sobh
A deep learning energy method for hyperelasticity and viscoelasticity. CoRR (2022)
Diab W. Abueidda, Seid Koric, Erman Guleryuz, Nahil A. Sobh
Enhanced physics-informed neural networks for hyperelasticity. CoRR (2022)
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 (2022)
Junyan He, Shashank Kushwaha, Charul Chadha, Seid Koric, Diab W. Abueidda, Iwona Jasiuk
Deep energy method in topology optimization applications. CoRR (2022)
Shirui Luo, Jiahuan Cui, Vignesh Sella, Jian Liu, Seid Koric, Volodymyr V. Kindratenko
Turbomachinery Blade Surrogate Modeling Using Deep Learning. ISC Workshops (2021)
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 (2021)
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)
Diab W. Abueidda, Seid Koric, Nahil A. Sobh
Machine learning accelerated topology optimization of nonlinear structures. CoRR (2020)
E. 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 (2020)
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)
E. 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) (2020)
Diab W. Abueidda, Qiyue Lu, Seid Koric
Deep learning collocation method for solid mechanics: Linear elasticity, hyperelasticity, and plasticity as examples. CoRR (2020)
Anshul Gupta, Natalia Gimelshein, Seid Koric, Steven C. Rennich
Effective Minimally-Invasive GPU Acceleration of Distributed Sparse Matrix Factorization. Euro-Par (2016)
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 (2016)
Vladimir Puzyrev, Seid Koric, Scott Wilkin
Evaluation of parallel direct sparse linear solvers in electromagnetic geophysical problems. Comput. Geosci. 89 (2016)
Galen Wesley Arnold, Manisha Gajbe, Seid Koric, John Urbanic
XSEDE OpenACC workshop enables Blue Waters Researchers to Accelerate Key Algorithms. XSEDE (2014)
Anshul Gupta, Seid Koric, Thomas George
Sparse matrix factorization on massively parallel computers. SC (2009)