| Deep learning based reduced order model for airfoil-gust and aeroelastic interaction R Halder, M Damodaran, BC Khoo AIAA Journal 58 (10), 4304-4321, 2020 | 33 | 2020 |
| Droplet generation in a microchannel with a controllable deformable wall A Raj, R Halder, P Sajeesh, AK Sen Microfluidics and Nanofluidics 20, 1-16, 2016 | 22 | 2016 |
| Deep learning-driven nonlinear reduced-order models for predicting wave-structure interaction R Halder, M Damodaran, BC Khoo Ocean Engineering 280, 114511, 2023 | 11 | 2023 |
| Signal interpolation augmented linear nonintrusive reduced-order model for aeroelastic applications R Halder, M Damodaran, BC Khoo AIAA Journal 58 (1), 426-444, 2020 | 9 | 2020 |
| Investigation of applying physics informed neural networks (PINN) and variants on 2d aerodynamics problems WB Tay, M Damodaran, ZD Teh, R Halder Fluids Engineering Division Summer Meeting 83730, V003T05A055, 2020 | 2 | 2020 |
| Implementation of a Modal Analysis Platform for Aeroelastic Computation in an Open Source CFD Solver SU2 and Application in Reduced Order Modelling R Halder, M Damodaran, B Khoo SU2 Conference, 2020 | 2 | 2020 |
| An LSTM-enhanced surrogate model to simulate the dynamics of particle-laden fluid systems A Hajisharifi, R Halder, M Girfoglio, A Beccari, D Bonanni, G Rozza Computers & Fluids 280, 106361, 2024 | 1 | 2024 |
| Physics Informed Neural Network Framework for Unsteady Discretized Reduced Order System R Halder, G Stabile, G Rozza arXiv preprint arXiv:2311.14045, 2023 | | 2023 |
| Computational Assessment of Transonic Airfoil-Gust Aeroelastic Response R Halder, M Damodaran, B Cheong Khoo AIAA Journal 60 (4), 2597-2614, 2022 | | 2022 |
| Discrete Empirical Interpolation Method Augmented Non-Instrusive Reduced Order Model for Aeroelastic Instabilities and Gust Load Analysis R Halder PQDT-Global, 2019 | | 2019 |
| Transonic Flutter Prediction Using Subspace Identification Based Reduced Order Method with Parametric Variation and Flowfield Reconstruction R Halder, M Damodaran, BC Khoo AIAA Aviation 2019 Forum, 3390, 2019 | | 2019 |
| INVESTIGATION OF APPLYING PHYSICS INFORMED NEURAL NETWORKS (PINN) AND VARIANTS ON 2D AERODYNAMICS PROBLEMS TAY Wee-Beng, M Damodaran, ZD Teh, R Halder | | |
Murali DamodaranNational University of Singapore在 nus.edu.sg 的电子邮件经过验证
