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Amal Roy Murali
Amal Roy Murali
在 ec-lyon.fr 的电子邮件经过验证
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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
52023
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
12022
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
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