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20182022
most citedEnforcing continuous symmetries in physics-informed neural network for solving forward and inverse problems of partial differential equations

3 citations · 6 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2022★ 3 cited

Enforcing continuous symmetries in physics-informed neural network for solving forward and inverse problems of partial differential equations

Zhi-Yong Zhang, Hui Zhang, Li-Sheng Zhang +1

As a typical application of deep learning, physics-informed neural network (PINN) {has been} successfully used to find numerical solutions of partial differential equations (PDEs),…

physics.acc-ph2021★ 1 cited

Back-n White Neutron Source at CSNS and its Applications

n Collaboration, Jing-Yu Tang, Qi An +73

Back-streaming neutrons from the spallation target of the China Spallation Neutron Source (CSNS) that emit through the incoming proton channel were exploited to build a white neutr…

math.AP2019★ 2 cited

Symmetry structure of multi-dimensional time-fractional partial differential equations

Zhi-Yong Zhang, Jia Zheng

In this paper, we concentrate on the Lie symmetry structure of a system of multi-dimensional time-fractional partial differential equations (PDEs). Specifically, we first give an e…

math-ph2018

An upper order bound of the invariant manifold in Lax pairs of a nonlinear evolution partial differential equation

Zhi-Yong Zhang

In \cite{hab-2016,hab-2017}, Habibullin \emph{et.al} proposed an approach to construct Lax pairs of a nonlinear integrable partial differential equation (PDE), where one is the lin…

cs.SC2018

New bounds and efficient algorithm for sparse difference resultant

Chun-Ming Yuan, Zhi-Yong Zhang

The sparse difference resultant introduced in \citep{gao-2015} is a basic concept in difference elimination theory. In this paper, we show that the sparse difference resultant of a…