Peyman Givi

Orcid: 0000-0002-9557-5768

According to our database1, Peyman Givi authored at least 13 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics.
ACM Trans. Intell. Syst. Technol., February, 2024

Physics-enhanced Neural Operator for Simulating Turbulent Transport.
CoRR, 2024

2023
Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement.
CoRR, 2023

2022
A quantum-inspired approach to exploit turbulence structures.
Nat. Comput. Sci., 2022

Physics guided neural networks for spatio-temporal super-resolution of turbulent flows.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021
Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2018
Deep Learning of Turbulent Scalar Mixing.
CoRR, 2018

2016
PARAGON: Parallel Architecture-Aware Graph Partition Refinement Algorithm.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

2015
A Clustering Method for Identifying Regions of Interest in Turbulent Combustion Tensor Fields.
Proceedings of the Visualization and Processing of Higher Order Descriptors for Multi-Valued Data, 2015

2013
An Irregularly Portioned FDF Simulator.
SIAM J. Sci. Comput., 2013

2011
An Irregularly Portioned Lagrangian Monte Carlo Method for Turbulent Flow Simulation.
J. Sci. Comput., 2011

Filtered density function simulator on unstructured meshes.
J. Comput. Phys., 2011

Modern, scalable, reliable modeling of turbulent combustion.
Proceedings of the 2011 TeraGrid Conference - Extreme Digital Discovery, 2011


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