Mohammad Sheikholeslami
The main aim of Mohammad’s project is to exploit the recent developments in machine learning and multi-fidelity deep learning algorithms to accelerate and improve the efficiency of physics-informed neural networks (PINN). This study will answer the research question of how to efficiently and accurately solve PDEs that describes fluid dynamics and wave evolutions by combining PINNs and multi-fidelity algorithms.
Showing 1 publications
Physics-Informed Neural Networks for Modeling Linear Waves
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Showing 2 research projects
Artificial intelligence for enhanced hydraulic turbine lifetime
PINNs -- Multi-Fidelity Physics-Informed Neural Network to Solve Partial Differential Equations