Conditionally parameterized, discretization-aware neural networks for mesh-based modeling of physical systems J Xu, A Pradhan, K Duraisamy Advances in Neural Information Processing Systems 34, 1634-1645, 2021 | 28 | 2021 |
Large Eddy Simulation Using Lattice Boltzmann Method Based on Sigma Model A Pradhan, S Yadav Procedia Engineering 127, 177–184, 2015 | 12 | 2015 |
Variational multiscale super‐resolution: A data‐driven approach for reconstruction and predictive modeling of unresolved physics A Pradhan, K Duraisamy International Journal for Numerical Methods in Engineering 124 (19), 4339-4370, 2023 | 8 | 2023 |
Variational multiscale closures for finite element discretizations using the Mori–Zwanzig approach A Pradhan, K Duraisamy Computer Methods in Applied Mechanics and Engineering 368, 113152, 2020 | 4 | 2020 |
A unified understanding of scale-resolving simulations and near-wall modelling of turbulent flows using optimal finite-element projections A Pradhan, K Duraisamy Journal of Fluid Mechanics 955, A6, 2023 | 3 | 2023 |
Arbitrary Order Solutions for the Eikonal Equation using a Discontinuous Galerkin Method D Flad, A Pradhan, S Murman arXiv preprint arXiv:2108.05950, 2021 | 2 | 2021 |
Mathematical Formalisms and Data-Driven Approaches for Coarse-Graining of Multi-Scale Finite Element Discretizations A Pradhan | 1 | 2022 |
A Neural-Network Based Adaptive Discontinuous Galerkin Method for Turbulent Flow Simulations MJ McGruder, A Pradhan, K Fidkowski AIAA SCITECH 2023 Forum, 1802, 2023 | | 2023 |
Improved slip wall models using optimal finite element projections. A Pradhan, K Duraisamy Bulletin of the American Physical Society, 2022 | | 2022 |
Optimal wall-modeling strategies using data. A Pradhan, K Duraisamy APS Division of Fluid Dynamics Meeting Abstracts, M28. 003, 2021 | | 2021 |
Super-resolution of Finite Element spaces using Physics-informed Deep Learning Networks for Turbulent flows A Pradhan, R Biswas, K Duraisamy APS Division of Fluid Dynamics Meeting Abstracts, S01. 001, 2020 | | 2020 |