2 citations · 2 across the 3 of their papers we have counts for
4 papers
Learning Stiffness Dependent Fluid Structure Dynamics from Coarse Flow Representations
Chun-Jun Pu, Li-Wei Chen, Hai-Bo Huang
This paper develops a data-driven framework for long-term prediction of fluid--structure interaction (FSI) dynamics, focusing on the flow-induced vibration (FIV) of a flexible plat…
Deep learning-based predictive modelling of transonic flow over an aerofoil
Li-Wei Chen, Nils Thuerey
Effectively predicting transonic unsteady flow over an aerofoil poses inherent challenges. In this study, we harness the power of deep neural network (DNN) models using the attenti…
Differentiability in Unrolled Training of Neural Physics Simulators on Transient Dynamics
Bjoern List, Li-Wei Chen, Kartik Bali +1
Unrolling training trajectories over time strongly influences the inference accuracy of neural network-augmented physics simulators. We analyze this in three variants of training n…
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
Georg Kohl, Li-Wei Chen, Nils Thuerey
Simulating turbulent flows is crucial for a wide range of applications, and machine learning-based solvers are gaining increasing relevance. However, achieving temporal stability w…