| NURBS-based and parametric-based shape optimization with differentiated CAD kernel O Mykhaskiv, M Banović, S Auriemma, P Mohanamuraly, A Walther, ... Computer-Aided Design and Applications 15 (6), 916-926, 2018 | 35 | 2018 |
| Store separation dynamics using grid-free Euler solver G Harish, M Pavanakumar, K Anandhanarayanan 24th AIAA Applied Aerodynamics Conference, 3650, 2006 | 30 | 2006 |
| Newton–Krylov Solver for Robust Turbomachinery Aerodynamic Analysis S Xu, P Mohanamuraly, D Wang, JD Müller AIAA Journal 58 (3), 1320-1336, 2020 | 11 | 2020 |
| Modeling free-stream turbulence based on wind tunnel and flight data for instability studies TK Sengupta, D Das, P Mohanamuraly, VK Suman, A Biswas Int J Emerg Multidiscip Fluid Sci 1 (3), 181-199, 2009 | 11 | 2009 |
| Hardware locality-aware partitioning and dynamic load-balancing of unstructured meshes for large-scale scientific applications P Mohanamuraly, G Staffelbach Proceedings of the Platform for Advanced Scientific Computing Conference, 1-10, 2020 | 9 | 2020 |
| CAD-based shape optimisation of the NASA CRM wing-body intersection using differentiated CAD-kernel O Mykhaskiv, P Mohanamuraly, JD Müller, S Xu, S Timme 35th AIAA Applied Aerodynamics Conference, 4080, 2017 | 9 | 2017 |
| Global spectral analysis of the Lax–Wendroff-central difference scheme applied to Convection–Diffusion equation S Sengupta, NA Sreejith, P Mohanamuraly, G Staffelbach, L Gicquel Computers & Fluids 242, 105508, 2022 | 8 | 2022 |
| Introducing STAMPS: an open-source discrete adjoint CFD solver using source-transformation AD JD Müller, M Gugala, S Xu, J Hüchelheim, P Mohanamuraly, ... 11th ASMO UK/ISSMO/NOED2016: International Conference on Numerical …, 2016 | 6 | 2016 |
| An adjoint‐assisted multilevel multifidelity method for uncertainty quantification and its application to turbomachinery manufacturing variability P Mohanamuraly, JD Müller International Journal for Numerical Methods in Engineering 122 (9), 2179-2204, 2021 | 4 | 2021 |
| NURBS-based and Parametric-based Shape Optimisation with differentiated CAD Kernel J Mueller, M Banovic, S Auriemma, P Mohanamuraly, A Walther, ... Computer-Aided Design and Applications, 2017 | 4 | 2017 |
| Seeding and adjoining zero-halo partitioned parallel scientific codes P Mohanamuraly, L Hascoët, JD Müller Optimization Methods and Software 35 (3), 618-637, 2020 | 3 | 2020 |
| Learning an optimised stable Taylor-Galerkin convection scheme based on a local spectral model for the numerical error dynamics L Drozda, P Mohanamuraly, L Cheng, C Lapeyre, G Daviller, Y Realpe, ... Journal of Computational Physics 493, 112430, 2023 | 2 | 2023 |
| Revisiting the space-filling curves for storage, reordering and partitioning mesh based data in scientific computing M Pavanakumar, KN Kaushik 20th Annual International Conference on High Performance Computing, 362-367, 2013 | 2 | 2013 |
| Acoustic prediction of heavy lift rotor configurations using momentum source method P Mohanamuraly | 2 | 2010 |
| Fast Adjoint-assisted Multilevel Multi delity Method for Uncertainty Quanti cation of the Aleatoric Kind P Mohanamuraly Queen Mary University of London, 2019 | 1 | 2019 |
| A systematic Adaptive Mesh Refinement method for Large Eddy Simulation of turbulent flame propagation B Vanbersel, FAM Ramirez, P Mohanamuraly, G Staffelbach, T Jaravel, ... | | 2023 |
| Learning an Optimised Stable Taylor-Galerkin Convection Scheme Based on a Local Spectral Model for the Numerical Error Dynamics P Mohanamuraly, L Drozda, L Cheng, C Lapeyre, G Daviller, Y Realpe, ... Available at SSRN 4377948, 2023 | | 2023 |
| Data-driven Taylor-Galerkin finite-element scheme for convection problems L Drozda, P Mohanamuraly, Y Realpe, C Lapeyre, A Adler, G Daviller, ... The Symbiosis of Deep Learning and Differential Equations, 2021 | | 2021 |
| A meshless optimised mesh-smoothing framework P Mohanamuraly, JD Mueller | | 2016 |
| A fast multi-level method for aerodynamic uncertainty quantification due to surface imperfections P Mohanamuraly, JD Müller | | |
Jens-Dominik MuellerReader, School of Engineering and Materials Science, Queen Mary University of LondonVerified email at qmul.ac.uk
