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math.NA2023
Physics Informed Neural Network Framework for Unsteady Discretized Reduced Order System
Rahul Halder, Giovanni Stabile, Gianluigi Rozza
This work addresses the development of a physics-informed neural network (PINN) with a loss term derived from a discretized time-dependent reduced-order system. In this work, first…
physics.flu-dyn2023
Deep Learning-Driven Nonlinear Reduced-Order Models for Predicting Wave-Structure Interaction
Rahul Halder, Murali Damodaran, Khoo Boo Cheong
Long Short-Term Memory (LSTM) network-driven Non-Intrusive Reduced Order Model (NROM) for predicting the dynamics of a floating box on the water surface in a wavemaker basin is add…