3 papers
physics.flu-dyn2021
U-Net-Based Surrogate Model For Evaluation of Microfluidic Channels
Quang Tuyen Le, Pao-Hsiung Chiu, Chin Chun Ooi
Microfluidics have shown great promise in multiple applications, especially in biomedical diagnostics and separations. While the flow properties of these microfluidic devices can b…
physics.flu-dyn2021
Surrogate Modeling of Fluid Dynamics with a Multigrid Inspired Neural Network Architecture
Quang Tuyen Le, Chin Chun Ooi
Algebraic or geometric multigrid methods are commonly used in numerical solvers as they are a multi-resolution method able to handle problems with multiple scales. In this work, we…
cs.LG2021
Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks
Jian Cheng Wong, Chinchun Ooi, Pao-Hsiung Chiu +1
Physics-Informed Neural Networks (PINNs) have recently shown great promise as a way of incorporating physics-based domain knowledge, including fundamental governing equations, into…