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相关论文: An Efficient Algorithm for Solving the Phase Field…

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We develop a preconditioner for the linear system arising from a finite element discretization of the Phase Field Crystal (PFC) equation. The PFC model serves as an atomic description of crystalline materials on diffusive time scales and…

计算物理 · 物理学 2015-08-27 Simon Praetorius , Axel Voigt

The phase-field crystal equation, a parabolic, sixth-order and nonlinear partial differential equation, has generated considerable interest as a possible solution to problems arising in molecular dynamics. This is because the phase-field…

数学物理 · 物理学 2015-07-29 Philippe Vignal , Lisandro Dalcin , Donald L. Brown , Nathan Collier , Victor M. Calo

The study of polycrystalline materials requires theoretical and computational techniques enabling multiscale investigations. The amplitude expansion of the phase field crystal model (APFC) allows for describing crystal lattice properties on…

计算物理 · 物理学 2019-04-25 Simon Praetorius , Marco Salvalaglio , Axel Voigt

Phase field crystal (PFC) models constitute a field theoretical approach to solidification, melting and related phenomena at atomic length and diffusive time scales. One of the advantages of these models is that they naturally contain…

材料科学 · 物理学 2015-06-18 V. Heinonen , C. V. Achim , K. R. Elder , S. Buyukdagli , T. Ala-Nissila

Crystalline defects critically influence material properties, necessitating accurate simulation methods. Existing approaches, from atomic-scale configurations to continuum elasticity, face inherent limitations in modeling…

材料科学 · 物理学 2025-10-09 Xinyi Wei , Yangshuai Wang , Kai Jiang , Lei Zhang

Phase field crystals (PFC) are a tool for simulating materials at the atomic level. They combine the small length-scale resolution of molecular dynamics (MD) with the ability to simulate dynamics on mesoscopic time scales. We show how PFC…

材料科学 · 物理学 2015-05-13 P. F. Tupper , Martin Grant

Here, we review the basic concepts and applications of the phase-field-crystal (PFC) method, which is one of the latest simulation methodologies in materials science for problems, where atomic- and microscales are tightly coupled. The PFC…

We optimize a numerical time-stabilization routine for the phase-field crystal (PFC) models of solidification. By numerical experiments, we showcase that our approach can improve the accuracy of underlying time integration schemes by a few…

材料科学 · 物理学 2023-07-06 Maik Punke , Steven M. Wise , Axel Voigt , Marco Salvalaglio

In this paper, we present a parallel numerical algorithm for solving the phase field crystal equation. In the algorithm, a semi-implicit finite difference scheme is derived based on the discrete variational derivative method. Theoretical…

计算工程、金融与科学 · 计算机科学 2017-03-06 Ying Wei , Chao Yang , Jizu Huang

The phase-field crystal model (PFC) describes crystal structures at diffusive timescales through a periodic order parameter representing the atomic density. One of its main features is that it naturally incorporates elastic and plastic…

材料科学 · 物理学 2023-07-07 Maik Punke , Vidar Skogvoll , Marco Salvalaglio

The phase-field crystal (PFC) model describes crystal structures at diffusive timescales through a periodic, microscopic density field. It has been proposed to model elasticity in crystal growth and encodes most of the phenomenology related…

材料科学 · 物理学 2025-01-23 Maik Punke , Marco Salvalaglio

We consider a continuum phase field model for crystal growth via molecular beam epitaxy, with the goal of determining stable numerical time integration methods for the dynamics. We parametrize a class of semi-implicit methods that are…

材料科学 · 物理学 2019-09-26 Gregory M. Seyfarth , Benjamin P. Vollmayr-Lee

We report on a novel extension of the recent phase-field crystal (PFC) method introduced in [Elder et al., Phys. Rev. Lett., Vol. 88, 245701:1-4 (2002)], which incorporates elastic interactions as well as crystal plasticity and diffusive…

材料科学 · 物理学 2009-11-11 Peter Stefanovic , Mikko Haataja , Nikolas Provatas

Material properties controlled by evolving defect structures, such as mechanical response, often involve processes spanning many length and time scales which cannot be modeled using a single approach. We present a variety of new results…

材料科学 · 物理学 2015-06-19 Joel Berry , Nikolas Provatas , Jörg Rottler , Chad W. Sinclair

We consider fully discrete schemes based on the scalar auxiliary variable (SAV) approach and stabilized SAV approach in time and the Fourier-spectral method in space for the phase field crystal (PFC) equation. Unconditionally energy…

偏微分方程分析 · 数学 2019-07-18 Xiaoli Li , Jie Shen

The phase field method is an effective tool for modeling microstructure evolution in materials. Many efficient implicit numerical solvers have been proposed for phase field simulations under uniform and time-invariant model parameters. We…

数值分析 · 数学 2024-01-23 Zirui Mao , G. R. Liu , Michael J. Demkowicz

We develop and analyze a two-mode phase-field-crystal model to describe fcc ordering. The model is formulated by coupling two different sets of crystal density waves corresponding to <111> and <200> reciprocal lattice vectors, which are…

材料科学 · 物理学 2010-07-01 Kuo-An Wu , Ari Adland , Alain Karma

This paper introduces a new structural phase field crystal (PFC) type model that expands the PFC methodology to a wider class of structurally complex crystal structures than previously possible. Specifically, our new approach allows for…

材料科学 · 物理学 2016-02-03 Matthew Seymour , Nikolas Provatas

Comprehensive investigations of crystalline systems often require methods bridging atomistic and continuum scales. In this context, coarse-grained mesoscale approaches are of particular interest as they allow the examination of large…

材料科学 · 物理学 2023-12-13 Marco Salvalaglio , Ken R. Elder

In this paper we analyze and implement a second-order-in-time numerical scheme for the three-dimensional phase field crystal (PFC) equation. The numerical scheme was proposed in [46], with the unique solvability and unconditional energy…

数值分析 · 数学 2016-11-22 Lixiu Dong , Wenqiang Feng , Cheng Wang , Steven M. Wise , Zhengru Zhang
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