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A Hessian Recovery Based Linear Finite Element Method for Molecular Beam Epitaxy Growth Model with Slope Selection

Minqiang Xu, Qingsong Zou

2023Advances in Applied Mathematics and Mechanics10 citationsDOIOpen Access PDF

Abstract

In this paper, we present a Hessian recovery based linear finite element method to simulate the molecular beam epitaxy growth model with slope selection. For the time discretization, we apply a first-order convex splitting method and secondorder Crank-Nicolson scheme. For the space discretization, we utilize the Hessian recovery operator to approximate second-order derivatives of a C 0 linear finite element function and hence the weak formulation of the fourth-order differential operator can be discretized in the linear finite element space. The energy-decay property of our proposed fully discrete schemes is rigorously proved. The robustness and the optimal-order convergence of the proposed algorithm are numerically verified. In a large spatial domain for a long period, we simulate coarsening dynamics, where 1/3power-law is observed.

Topics & Concepts

Hessian matrixFinite element methodMolecular beam epitaxySelection (genetic algorithm)Materials scienceMathematicsApplied mathematicsComputer sciencePhysicsEpitaxyThermodynamicsComposite materialArtificial intelligenceLayer (electronics)Solidification and crystal growth phenomenaGas Dynamics and Kinetic Theory
A Hessian Recovery Based Linear Finite Element Method for Molecular Beam Epitaxy Growth Model with Slope Selection | Litcius