| Computer simulation of the SARS-CoV-2 contamination risk in a large dental clinic J Komperda, A Peyvan, D Li, B Kashir, AL Yarin, CM Megaridis, P Mirbod, ... Physics of Fluids 33 (3), 2021 | 62 | 2021 |
| High-order methods for hypersonic flows with strong shocks and real chemistry A Peyvan, K Shukla, J Chan, G Karniadakis Journal of Computational Physics 490, 112310, 2023 | 13 | 2023 |
| Deep neural operators can serve as accurate surrogates for shape optimization: a case study for airfoils K Shukla, V Oommen, A Peyvan, M Penwarden, L Bravo, A Ghoshal, ... arXiv preprint arXiv:2302.00807, 2023 | 13 | 2023 |
| Compressibility effects on energy exchange mechanisms in a spatially developing plane free shear layer D Li, A Peyvan, Z Ghiasi, J Komperda, F Mashayek Journal of Fluid Mechanics 910, A9, 2021 | 12 | 2021 |
| Compressibility effects on the transition to turbulence in a spatially developing plane free shear layer D Li, J Komperda, Z Ghiasi, A Peyvan, F Mashayek Theoretical and Computational Fluid Dynamics 33, 577-602, 2019 | 12 | 2019 |
| Modal explicit filtering for large eddy simulation in discontinuous spectral element method Z Ghiasi, J Komperda, D Li, A Peyvan, D Nicholls, F Mashayek Journal of Computational Physics: X 3, 100024, 2019 | 12 | 2019 |
| A hybrid discontinuous spectral element method and filtered mass density function solver for turbulent reacting flows J Komperda, Z Ghiasi, D Li, A Peyvan, F Jaberi, F Mashayek Numerical Heat Transfer, Part B: Fundamentals 78 (1), 1-29, 2020 | 11 | 2020 |
| Axial-flow compressor performance prediction in design and off-design conditions through 1-D and 3-D modeling and experimental study A Peyvan, AH Benisi Journal of Applied Fluid Mechanics 9 (5), 2149-2160, 2016 | 11 | 2016 |
| Deep neural operators as accurate surrogates for shape optimization K Shukla, V Oommen, A Peyvan, M Penwarden, N Plewacki, L Bravo, ... Engineering Applications of Artificial Intelligence 129, 107615, 2024 | 7 | 2024 |
| Flux reconstruction using Jacobi correction functions in discontinuous spectral element method A Peyvan, J Komperda, D Li, Z Ghiasi, F Mashayek Journal of Computational Physics 435, 110261, 2021 | 6 | 2021 |
| Oscillation-free nodal discontinuous spectral element method for the simulation of compressible multicomponent flows A Peyvan, D Li, J Komperda, F Mashayek Journal of Computational Physics 452, 110921, 2022 | 5 | 2022 |
| Filtered density function for shocked compressible flows on unstructured spectral element grids J Komperda, D Li, A Peyvan, F Mashayek AIAA Scitech 2020 Forum, 1789, 2020 | 5 | 2020 |
| Flux reconstruction discontinuous spectral element method for compressible turbulent flows A Peyvan University of Illinois at Chicago, 2022 | 1 | 2022 |
| Assessment of turbulence models using DNS data of compressible plane free shear layer flow D Li, J Komperda, A Peyvan, Z Ghiasi, F Mashayek Journal of Fluid Mechanics 931, A10, 2022 | 1 | 2022 |
| Application of modal filtering in discontinuous spectral element method for simulation of compressible channel flow at different Reynolds numbers A Peyvan, Z Ghiasi, D Li, J Komperda, F Mashayek arXiv preprint arXiv:2007.06610, 2020 | 1 | 2020 |
| RiemannONets: Interpretable Neural Operators for Riemann Problems A Peyvan, V Oommen, AD Jagtap, GE Karniadakis arXiv preprint arXiv:2401.08886, 2024 | | 2024 |
| Under-resolved Simulation of Backward Facing Step Flow Using Flux Reconstruction Discontinuous Spectral Element Method A Peyvan, D Li, J Komperda, Z Ghiasi, F Mashayek AIAA SCITECH 2022 Forum, 0486, 2022 | | 2022 |
| Large-Scale Simulations of Turbulence Using Discontinuous Spectral Element Method A Peyvan, D Li, J Komperda, F Mashayek World Academy of Science, Engineering and Technology International Journal …, 2018 | | 2018 |
Jonathan (Jon) KomperdaUniversity of Illinois at ChicagoVerified email at uic.edu
