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Yunxian Liu

Researcher at Shandong University

Publications -  9
Citations -  386

Yunxian Liu is an academic researcher from Shandong University. The author has contributed to research in topics: Discontinuous Galerkin method & Numerical analysis. The author has an hindex of 8, co-authored 9 publications receiving 354 citations. Previous affiliations of Yunxian Liu include Brown University.

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On large time-stepping methods for the Cahn--Hilliard equation

TL;DR: This work analyzes a class of large time-stepping methods for the Cahn-Hilliard equation discretized by Fourier spectral method in space and semi-implicit schemes in time and investigates the stability and convergence properties based on an energy approach.
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A class of stable spectral methods for the Cahn-Hilliard equation

TL;DR: The initial-boundary value problem of two-dimensional Cahn-Hilliard equation is considered and a class of fully discrete dissipative Fourier spectral schemes are proposed to demonstrate the effectiveness of the proposed schemes.
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Stability and convergence of the spectral Galerkin method for the Cahn‐Hilliard equation

TL;DR: In this paper, a spectral Galerkin method was used to solve the Cahn-Hilliard equation and its existence, uniqueness, and stabilities for both the exact solution and the approximate solution were given.
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Analysis of the local discontinuous Galerkin method for the drift-diffusion model of semiconductor devices

TL;DR: This work considers the drift-diffusion model of one dimensional semiconductor devices, which is a system involving not only first derivative convection terms but also second derivative diffusion terms and a coupled Poisson potential equation.
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Local discontinuous Galerkin methods for moment models in device simulations: Performance assessment and two-dimensional results

TL;DR: This paper considers various hydrodynamic (HD) and energy transport (ET) models, which involve not only first derivative convection terms but also second derivative diffusion (heat conduction) terms and a Poisson potential equation, and simulates different moment models and different devices to demonstrate the robustness of the algorithm and assess the performance of the algorithms with different orders of accuracy.