A physics-based machine learning technique rapidly reconstructs the wall-shear stress and pressure fields in coronary arteries B Morgan, AR Murali, G Preston, YA Sima, LA Marcelo Chamorro, ... Frontiers in Cardiovascular Medicine 10, 1221541, 2023 | 5 | 2023 |
Noise modelling of highly over-expanded TIC nozzle flows ARA Murali, SA Karabasov, V Gryazev, X Meng 28th AIAA/CEAS Aeroacoustics 2022 Conference, 3066, 2022 | 1 | 2022 |
Noise Radiation and Dynamics of Slat Cove Vortices Revisited in Light of a Parametric LBM Study AR Murali, J Boudet, F Guiho, MC Jacob, M Bauerheim, S Moreau 30th AIAA/CEAS Aeroacoustics Conference (2024), 3348, 2024 | | 2024 |
Reduced Order Modelling of a Reynolds Number Jet Flow Using Machine Learning Approaches AR Murali, MLK Kennedy, V Gryazev, U Armani, A Markesteijn, E Naghibi, ... 30th AIAA/CEAS Aeroacoustics Conference (2024), 3257, 2024 | | 2024 |
PARAMETRIC DATA GENERATION OF SLAT-AIRFOIL CONFIGURATIONS USING LATTICE BOLTZMANN METHOD AR Murali, J Boudet, M Jacob, V Clair, M Roger, F Guiho, M Itasse, ... 29th International Congress on Sound and Vibration, 2023 | | 2023 |
Application of Genetic Programming and Artificial Neural Network Approaches for Reconstruction of Turbulent Jet Flow Fields G Vasily, U Armani, AR Murali, AP Markesteijn, SK Karabasov, V Toropov, ... 33rd Congress of the International Council of the Aeronautical Sciences, 2022 | | 2022 |
Application of Genetic Programming and Artificial Neural Network approaches for reconstruction of turbulent jet flow fields. V Gryazev, U Armani, AR Murali, AP Markesteijn, SA Karabasov, ... Proceedings of 33rd Congress of International Council of Aeronautical Sciences, 2022 | | 2022 |
NOISE MODELLING OF HIGHLY OVER-EXPANDED NOZZLE FLOW AR Murali | | 2021 |
Non-Newtonian Flow field prediction: A Deep Galerkin Method approach GKT Amal Roy Murali, Mary Lidiya 10.13140/RG.2.2.36771.63526, 2019 | | 2019 |