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Peyman Givi
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2020 – today
- 2025
- [j6]Aidyn Aitzhan, Arash G. Nouri, Peyman Givi, Hessam Babaee:
Reduced order modeling of turbulent reacting flows on low-rank matrix manifolds. J. Comput. Phys. 521: 113549 (2025) - 2024
- [j5]Shengyu Chen, Tianshu Bao, Peyman Givi, Can Zheng, Xiaowei Jia:
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics. ACM Trans. Intell. Syst. Technol. 15(1): 17:1-17:18 (2024) - [i4]Shengyu Chen, Peyman Givi, Can Zheng, Xiaowei Jia:
Physics-enhanced Neural Operator for Simulating Turbulent Transport. CoRR abs/2406.04367 (2024) - 2023
- [i3]Shengyu Chen, Tianshu Bao, Peyman Givi, Can Zheng, Xiaowei Jia:
Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement. CoRR abs/2304.12130 (2023) - 2022
- [j4]Nikita Gourianov, Michael Lubasch, Sergey Dolgov, Quincy Y. van den Berg, Hessam Babaee, Peyman Givi, Martin Kiffner, Dieter Jaksch:
A quantum-inspired approach to exploit turbulence structures. Nat. Comput. Sci. 2(1): 30-37 (2022) - [c4]Tianshu Bao, Shengyu Chen, Taylor T. Johnson, Peyman Givi, Shervin Sammak, Xiaowei Jia:
Physics guided neural networks for spatio-temporal super-resolution of turbulent flows. UAI 2022: 118-128 - 2021
- [c3]Shengyu Chen, Shervin Sammak, Peyman Givi, Joseph P. Yurko, Xiaowei Jia:
Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks. IEEE BigData 2021: 1369-1379 - [i2]Shengyu Chen, Shervin Sammak, Peyman Givi, Joseph P. Yurko, Xiaowei Jia:
Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks. CoRR abs/2109.03327 (2021)
2010 – 2019
- 2018
- [i1]Maziar Raissi, Hessam Babaee, Peyman Givi:
Deep Learning of Turbulent Scalar Mixing. CoRR abs/1811.07095 (2018) - 2016
- [c2]Angen Zheng, Alexandros Labrinidis, Patrick H. Pisciuneri, Panos K. Chrysanthis, Peyman Givi:
PARAGON: Parallel Architecture-Aware Graph Partition Refinement Algorithm. EDBT 2016: 365-376 - 2015
- [p1]Adrian Maries, Timothy Luciani, Patrick H. Pisciuneri, Mehdi B. Nik, Server Levent Yilmaz, Peyman Givi, G. Elisabeta Marai:
A Clustering Method for Identifying Regions of Interest in Turbulent Combustion Tensor Fields. Visualization and Processing of Higher Order Descriptors for Multi-Valued Data 2015: 323-338 - 2013
- [j3]Patrick H. Pisciuneri, Server L. Yilmaz, P. A. Strakey, Peyman Givi:
An Irregularly Portioned FDF Simulator. SIAM J. Sci. Comput. 35(4) (2013) - 2011
- [j2]Naseem Ansari, G. M. Goldin, Mohammad Reza H. Sheikhi, Peyman Givi:
Filtered density function simulator on unstructured meshes. J. Comput. Phys. 230(19): 7132-7150 (2011) - [j1]Server L. Yilmaz, Mehdi B. Nik, Mohammad Reza H. Sheikhi, P. A. Strakey, Peyman Givi:
An Irregularly Portioned Lagrangian Monte Carlo Method for Turbulent Flow Simulation. J. Sci. Comput. 47(1): 109-125 (2011) - [c1]Server Levent Yilmaz, Patrick H. Pisciuneri, Mehdi B. Nik, Peyman Givi:
Modern, scalable, reliable modeling of turbulent combustion. TG 2011: 11:1-11:2
Coauthor Index
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