6 citations · 12 across the 8 of their papers we have counts for
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cs.CE2020
Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression
Yixiang Deng, Guang Lin, Xiu Yang
We propose a data fusion method based on multi-fidelity Gaussian process regression (GPR) framework. This method combines available data of the quantity of interest (QoI) and its g…
cs.CE2020★ 1 cited
Peri-Net-Pro: The neural processes with quantified uncertainty for crack patterns
Moonseop Kim, Guang Lin
This paper uses the peridynamic theory, which is well-suited to crack studies, to predict the crack patterns in a moving disk and classify them according to the modes and finally p…
cs.CE2020
RotEqNet: Rotation-Equivariant Network for Fluid Systems with Symmetric High-Order Tensors
Liyao Gao, Yifan Du, Hongshan Li +1
In the recent application of scientific modeling, machine learning models are largely applied to facilitate computational simulations of fluid systems. Rotation symmetry is a gener…