20 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.LG2022
AMS-Net: Adaptive Multiscale Sparse Neural Network with Interpretable Basis Expansion for Multiphase Flow Problems
Yating Wang, Wing Tat Leung, Guang Lin
In this work, we propose an adaptive sparse learning algorithm that can be applied to learn the physical processes and obtain a sparse representation of the solution given a large…
physics.flu-dyn2021★ 20 cited
PCNN: A physics-constrained neural network for multiphase flows
Haoyang Zheng, Ziyang Huang, Guang Lin
The present study develops a physics-constrained neural network (PCNN) to predict sequential patterns and motions of multiphase flows (MPFs), which includes strong interactions amo…
math.DS2015★ 1 cited
Classification of Spatio-Temporal Data via Asynchronous Sparse Sampling: Application to Flow Around a Cylinder
Ido Bright, Guang Lin, J. Nathan Kutz
We present a novel method for the classification and reconstruction of time dependent, high-dimensional data using sparse measurements, and apply it to the flow around a cylinder.…