activity
20172023
most citedPhysics-informed Neural Networks for Elliptic Partial Differential Equations on 3D Manifolds

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA2023

FEM-PIKFNNs for underwater acoustic propagation induced by structural vibrations in different ocean environments

Qiang Xi, Zhuojia Fu, Wenzhi Xu +2

In this paper, a novel hybrid method based on the finite element method (FEM) and physics-informed kernel function neural networks (PIKFNNs) is proposed and applied to the predicti…

math.NA2023

Simulating time-harmonic acoustic wave effects induced by periodic holes/inclusions on surfaces

Wen Hu, Zhuojia Fu, Leevan Ling

This paper introduces the first attempt to employ a localized meshless method to analyze time-harmonic acoustic wave propagation on curved surfaces with periodic holes/inclusions.…

math.NA20211 cited

Physics-informed Neural Networks for Elliptic Partial Differential Equations on 3D Manifolds

Zhuochao Tang, Zhuojia Fu

Motivated by recent research on Physics-Informed Neural Networks (PINNs), we make the first attempt to introduce the PINNs for numerical simulation of the elliptic Partial Differen…

math.NA2020

A semi-analytical collocation method for solving multi-term variable-order time fractional partial differential equations

Xia Tian, S. Yu. Reutskiy, Zhuo-Jia Fu

This paper presents a novel semi-analytical collocation method to solve multi-term variable-order time fractional partial differential equations (VOTFPDEs). In the proposed method…

math.NA2017

A scale-dependent finite difference method for time fractional derivative relaxation type equations

XiaoTing Liu, HongGuang Sun, Yong Zhang +1

Fractional derivative relaxation type equations (FREs) including fractional diffusion equation and fractional relaxation equation, have been widely used to describe anomalous pheno…