Solving complex fluid-structure interaction (FSI) problems, which are
de...
Recently the Transformer structure has shown good performances in graph
...
Nonlinear dynamics are ubiquitous in science and engineering application...
Although recent advances in deep learning (DL) have shown a great promis...
Graph-based next-step prediction models have recently been very successf...
Model-based reinforcement learning (MBRL) is believed to have much highe...
Despite the great promise of the physics-informed neural networks (PINNs...
Mathematical modeling and simulation of complex physical systems based o...
Projection-based model reduction has become a popular approach to reduce...
Using observation data to estimate unknown parameters in computational m...
Modeled Reynolds stress is a major source of model-form uncertainties in...