Ahmad Peyvan

Orcid: 0000-0003-4038-3432

According to our database1, Ahmad Peyvan authored at least 8 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Deep neural operators as accurate surrogates for shape optimization.
Eng. Appl. Artif. Intell., 2024

Transformers as Neural Operators for Solutions of Differential Equations with Finite Regularity.
CoRR, 2024

RiemannONets: Interpretable Neural Operators for Riemann Problems.
CoRR, 2024

2023
High-order methods for hypersonic flows with strong shocks and real chemistry.
J. Comput. Phys., 2023

Deep neural operators can serve as accurate surrogates for shape optimization: A case study for airfoils.
CoRR, 2023

2022
Oscillation-free nodal discontinuous spectral element method for the simulation of compressible multicomponent flows.
J. Comput. Phys., 2022

2021
Flux reconstruction using Jacobi correction functions in discontinuous spectral element method.
J. Comput. Phys., 2021

2019
Modal explicit filtering for large eddy simulation in discontinuous spectral element method.
J. Comput. Phys. X, 2019


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