Seid Koric - RankMe

42 papers A 3Journal 34Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Nonlinear inverse design of mechanical multi-material metamaterials enabled by video denoising diffusion and structure identifier. Eng. Appl. Artif. Intell. Jaewan Park, Shashank Kushwaha, Junyan He, Seid Koric, Qibang Liu, Iwona Jasiuk, Diab W. Abueidda
2026	J	`jnl`	Sequential neural operator transformer for high-fidelity surrogates of time-dependent non-linear partial differential equations. Eng. Appl. Artif. Intell. Qibang Liu, Weiheng Zhong, Seid Koric, Hadi Meidani
2025	J	`jnl`	A comprehensive comparison of neural operators for 3D industry-scale engineering designs. CoRR Weiheng Zhong, Qibang Liu, Diab W. Abueidda, Seid Koric, Hadi Meidani
2025	J	`jnl`	Agentic Physical AI toward a Domain-Specific Foundation Model for Nuclear Reactor Control. CoRR Yoonpyo Lee, Kazuma Kobayashi, Sai Puppala, Sajedul Talukder, Seid Koric, Souvik Chakraborty, Syed Bahauddin Alam
2025	J	`jnl`	Bridging Sequential Deep Operator Network and Video Diffusion: Residual Refinement of Spatio-Temporal PDE Solutions. CoRR Jaewan Park, Farid Ahmed, Kazuma Kobayashi, Seid Koric, Syed Bahauddin Alam, Iwona Jasiuk, Diab W. Abueidda
2025	J	`jnl`	From Proxies to Fields: Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences. CoRR Kazuma Kobayashi, Samrendra Roy, Seid Koric, Diab W. Abueidda, Syed Bahauddin Alam
2025	J	`jnl`	Geometry-Informed Neural Operator Transformer. CoRR Qibang Liu, Vincient Zhong, Hadi Meidani, Diab W. Abueidda, Seid Koric, Philippe H. Geubelle
2025	J	`jnl`	When Network Architecture Meets Physics: Deep Operator Learning for Coupled Multiphysics. CoRR Kazuma Kobayashi, Jaewan Park, Qibang Liu, Seid Koric, Diab W. Abueidda, Syed Bahauddin Alam
2024	J	`jnl`	Advanced Deep Operator Networks to Predict Multiphysics Solution Fields in Materials Processing and Additive Manufacturing. CoRR Shashank Kushwaha, Jaewan Park, Seid Koric, Junyan He, Iwona Jasiuk, Diab W. Abueidda
2024	J	`jnl`	Deep learning operator network for plastic deformation with variable loads and material properties. Eng. Comput. Seid Koric, Asha Viswanath, Diab W. Abueidda, Nahil A. Sobh, Kamran Ahmed Khan
2024	J	`jnl`	Geom-DeepONet: A Point-cloud-based Deep Operator Network for Field Predictions on 3D Parameterized Geometries. CoRR Junyan He, Seid Koric, Diab W. Abueidda, Ali Najafi, Iwona Jasiuk
2024	J	`jnl`	Material-Response-Informed DeepONet and its Application to Polycrystal Stress-strain Prediction in Crystal Plasticity. CoRR Junyan He, Deepankar Pal, Ali Najafi, Diab W. Abueidda, Seid Koric, Iwona Jasiuk
2024	J	`jnl`	Nonlinear Inverse Design of Mechanical Multi-Material Metamaterials Enabled by Video Denoising Diffusion and Structure Identifier. CoRR Jaewan Park, Shashank Kushwaha, Junyan He, Seid Koric, Qibang Liu, Iwona Jasiuk, Diab W. Abueidda
2024	J	`jnl`	Sequential Deep Operator Networks (S-DeepONet) for predicting full-field solutions under time-dependent loads. Eng. Appl. Artif. Intell. Junyan He, Shashank Kushwaha, Jaewan Park, Seid Koric, Diab W. Abueidda, Iwona Jasiuk
2024	J	`jnl`	Univariate Conditional Variational Autoencoder for Morphogenic Patterns Design in Frontal Polymerization-Based Manufacturing. CoRR Qibang Liu, Pengfei Cai, Diab W. Abueidda, Sagar Vyas, Seid Koric, Rafael Gómez-Bombarelli, Philippe H. Geubelle
2024	J	`jnl`	Virtual Sensing for Real-Time Degradation Monitoring of Nuclear Systems: Leveraging DeepONet for Enhanced Sensing Coverage for Digital Twin-Enabling Technology. CoRR Raisa Bentay Hossain, Farid Ahmed, Kazuma Kobayashi, Seid Koric, Diab W. Abueidda, Syed Bahauddin Alam
2023	—	`conf`	Cybershuttle: An End-to-End Cyberinfrastructure Continuum to Accelerate Discovery in Science and Engineering. PEARC 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 Enry Barreto Gomes, Giri P. Krishnan, Maxim Bazhenov, Shava Smallen, Amit Majumdar, Anton Arkhipov, Kael Dai, Xiao-Ping Liu, Kenneth Yoshimoto
2023	J	`jnl`	Gyroid-like metamaterials: Topology optimization and Deep Learning. CoRR Asha Viswanath, Diab W. Abueidda, Mohamad Modrek, Kamran Ahmed Khan, Seid Koric, Rashid K. Abu Al-Rub
2023	J	`jnl`	Multi-component Predictions of Transient Solution Fields with Sequential Deep Operator Network. CoRR Junyan He, Shashank Kushwaha, Jaewan Park, Seid Koric, Diab W. Abueidda, Iwona Jasiuk
2023	J	`jnl`	Novel DeepONet architecture to predict stresses in elastoplastic structures with variable complex geometries and loads. CoRR Junyan He, Seid Koric, Shashank Kushwaha, Jaewan Park, Diab W. Abueidda, Iwona Jasiuk
2023	J	`jnl`	Sequential Deep Learning Operator Network (S-DeepONet) for Time-Dependent Loads. CoRR Jaewan Park, Shashank Kushwaha, Junyan He, Seid Koric, Diab W. Abueidda, Iwona Jasiuk
2023	A	`conf`	Toward Exascale Computation for Turbomachinery Flows. SC 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
2023	J	`jnl`	Towards Exascale Computation for Turbomachinery Flows. CoRR 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
2022	J	`jnl`	A deep learning energy method for hyperelasticity and viscoelasticity. CoRR Diab W. Abueidda, Seid Koric, Rashid K. Abu Al-Rub, Corey M. Parrott, Kai A. James, Nahil A. Sobh
2022	J	`jnl`	A deep learning energy-based method for classical elastoplasticity. CoRR Junyan He, Diab W. Abueidda, Rashid K. Abu Al-Rub, Seid Koric, Iwona Jasiuk
2022	J	`jnl`	Deep energy method in topology optimization applications. CoRR Junyan He, Shashank Kushwaha, Charul Chadha, Seid Koric, Diab W. Abueidda, Iwona Jasiuk
2022	J	`jnl`	Enhanced physics-informed neural networks for hyperelasticity. CoRR Diab W. Abueidda, Seid Koric, Erman Guleryuz, Nahil A. Sobh
2022	J	`jnl`	On the use of graph neural networks and shape-function-based gradient computation in the deep energy method. CoRR Junyan He, Diab W. Abueidda, Seid Koric, Iwona Jasiuk
2022	J	`jnl`	Surrogate Neural Network Model for Sensitivity Analysis and Uncertainty Quantification of the Mechanical Behavior in the Optical Lens-Barrel Assembly. CoRR Shantanu Shahane, Erman Guleryuz, Diab W. Abueidda, Allen Lee, Joe Liu, Xin Yu, Raymond Chiu, Seid Koric, Narayana R. Aluru, Placid M. Ferreira
2021	J	`jnl`	High-Performance Computing Comparison of Implicit and Explicit Nonlinear Finite Element Simulations of Trabecular Bone. Comput. Methods Programs Biomed. Fereshteh A. Sabet, Seid Koric, Ashraf Idkaidek, Iwona Jasiuk
2021	—	`conf`	Turbomachinery Blade Surrogate Modeling Using Deep Learning. ISC Workshops Shirui Luo, Jiahuan Cui, Vignesh Sella, Jian Liu, Seid Koric, Volodymyr V. Kindratenko
2020	J	`jnl`	Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure. CoRR 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
2020	J	`jnl`	Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure. J. Big Data 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
2020	J	`jnl`	Deep learning collocation method for solid mechanics: Linear elasticity, hyperelasticity, and plasticity as examples. CoRR Diab W. Abueidda, Qiyue Lu, Seid Koric
2020	J	`jnl`	Machine learning accelerated topology optimization of nonlinear structures. CoRR Diab W. Abueidda, Seid Koric, Nahil A. Sobh
2020	—	`conf`	Parameter Identification of RANS Turbulence Model Using Physics-Embedded Neural Network. ISC Workshops Shirui Luo, Madhu Vellakal, Seid Koric, Volodymyr V. Kindratenko, Jiahuan Cui
2020	A	`conf`	Scalability Challenges of an Industrial Implicit Finite Element Code. IPDPS 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
2016	J	`jnl`	Alya: Multiphysics engineering simulation toward exascale. J. Comput. Sci. 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
2016	—	`conf`	Effective Minimally-Invasive GPU Acceleration of Distributed Sparse Matrix Factorization. Euro-Par Anshul Gupta, Natalia Gimelshein, Seid Koric, Steven C. Rennich
2016	J	`jnl`	Evaluation of parallel direct sparse linear solvers in electromagnetic geophysical problems. Comput. Geosci. Vladimir Puzyrev, Seid Koric, Scott Wilkin
2014	—	`conf`	XSEDE OpenACC workshop enables Blue Waters Researchers to Accelerate Key Algorithms. XSEDE Galen Wesley Arnold, Manisha Gajbe, Seid Koric, John Urbanic
2009	A	`conf`	Sparse matrix factorization on massively parallel computers. SC Anshul Gupta, Seid Koric, Thomas George