activity
20192024
most citedMass and energy conservative high order diagonally implicit Runge--Kutta schemes for nonlinear Schrödinger equation in one and two dimensions

4 citations · 6 across the 12 of their papers we have counts for

collaborators

13 papers

math.NA2024

A unified convergence analysis framework of the energy-stable ETDRK3 schemes for the No-slope-selection thin film model

Jingwei Sun, Haifeng Wang, Hong Zhang +2

This paper establishes a unified framework for the space-time convergence analysis of the energy-stable third-order accurate exponential time differencing Runge-Kutta schemes. By e…

math.NA2024

An exponential-free Runge--Kutta framework for developing third-order unconditionally energy stable schemes for the Cahn--Hilliard equation

Haifeng Wang, Jingwei Sun, Hong Zhang +2

In this work, we develop a class of up to third-order energy-stable schemes for the Cahn--Hilliard equation. Building on Lawson's integrating factor Runge--Kutta method, which is w…

math.NA2024

High-order and Mass-conservative Regularized Implicit-explicit relaxation Runge-Kutta methods for the logarithmic Schrödinger equation

Jingye Yan, Hong Zhang, Yabing Wei +1

The non-differentiability of the singular nonlinearity (such as ) at presents significant challenges in devising accurate and efficient numerical schemes for the…

math.NA2024★ 1 cited

Global-in-time energy stability: a powerful analysis tool for the gradient flow problem without maximum principle or Lipschitz assumption

J. Sun, H. Wang, H. Zhang +2

Before proving (unconditional) energy stability for gradient flows, most existing studies either require a strong Lipschitz condition regarding the non-linearity or certain $L^{\in…

math.NA2023

SPFNO: Spectral operator learning for PDEs with Dirichlet and Neumann boundary conditions

Ziyuan Liu, Yuhang Wu, Daniel Zhengyu Huang +3

Neural operators have been validated as promising deep surrogate models for solving partial differential equations (PDEs). Despite the critical role of boundary conditions in PDEs,…

math.NA2022

Render unto Numerics: Orthogonal Polynomial Neural Operator for PDEs with Non-periodic Boundary Conditions

Ziyuan Liu, Haifeng Wang, Hong Zhang +3

By learning the mappings between infinite function spaces using carefully designed neural networks, the operator learning methodology has exhibited significantly more efficiency th…

math.NA2022

Arbitrary high-order structure-preserving schemes for the generalized Rosenau-type equation

Chaolong Jiang, Xu Qian, Songhe Song +1

In this paper, we are concerned with arbitrarily high-order momentum-preserving and energy-preserving schemes for solving the generalized Rosenau-type equation, respectively. The d…

math.NA2022

An Operator Learning Approach via Function-valued Reproducing Kernel Hilbert Space for Differential Equations

Kaijun Bao, Xu Qian, Ziyuan Liu +1

Much recent work has addressed the solution of a family of partial differential equations by computing the inverse operator map between the input and solution space. Toward this en…

math.NA2021

Arbitrary high-order linear structure-preserving schemes for the regularized long-wave equation

Chaolong Jiang, Xu Qian, Songhe Song +1

In this paper, a class of arbitrarily high-order linear momentum-preserving and energy-preserving schemes are proposed, respectively, for solving the regularized long-wave equation…

math.NA2021

High-order linearly implicit structure-preserving exponential integrators for the nonlinear Schrödinger equation

Chaolong Jiang, Jin Cui, Xu Qian +1

A novel class of high-order linearly implicit energy-preserving integrating factor Runge-Kutta methods are proposed for the nonlinear Schrödinger equation. Based on the idea of the…

math.AP2020

Two regularized energy-preserving finite difference methods for the logarithmic Klein-Gordon equation

Jingye Yan, Xu Qian, Hong Zhang +1

We present and analyze two regularized finite difference methods which preserve energy of the logarithmic Klein-Gordon equation (LogKGE). In order to avoid singularity caused by th…

math.AP2020★ 1 cited

Regularized finite difference methods for the logarithmic Klein-Gordon equation

Jingye Yan, Hong Zhang, Xu Qian +1

We propose and analyze two regularized finite difference methods for the logarithmic Klein-Gordon equation (LogKGE). Due to the blowup phenomena caused by the logarithmic nonlinear…

math.NA2019★ 4 cited

Mass and energy conservative high order diagonally implicit Runge--Kutta schemes for nonlinear Schrödinger equation in one and two dimensions

Ziyuan Liu, Hong Zhang, Xu Qian +1

We present and analyze a series of conservative diagonally implicit Runge--Kutta schemes for the nonlinear Schrödiner equation. With the application of the newly developed invarian…