Zobrazeno 1 - 10
of 31 282
pro vyhledávání: '"Phase field Model"'
We investigate a new phase field model for representing non-oriented interfaces, approximating their area and simulating their area-minimizing flow. Our contribution is related to the approach proposed in arXiv:2105.09627 that involves ad hoc neural
Externí odkaz:
http://arxiv.org/abs/2412.15926
An appropriate description of the lithiation/delithiation dynamics in bi-phasic primary cathode particles of Li-ion batteries requires an accurate treatment of the conditions holding at the interface between the particle and the surrounding liquid el
Externí odkaz:
http://arxiv.org/abs/2410.22970
In this paper, we develop a second-order, fully decoupled, and energy-stable numerical scheme for the Cahn-Hilliard-Navier-Stokes model for two phase flow with variable density and viscosity. We propose a new decoupling Constant Scalar Auxiliary Vari
Externí odkaz:
http://arxiv.org/abs/2410.10195
Using a regularized delta function to distribute surfactant interfacial concentration can simplify the computation of the surface gradient operator $\nabla_s$, enabling the phase-field model to effectively simulate Marangoni flows involving surfactan
Externí odkaz:
http://arxiv.org/abs/2409.19374
Choosing the correct free energy functional is critical when developing thermodynamically-consistent phase field models. We show that the grand-potential phase field model minimizes the Helmholtz free energy. While both functionals are at a minimum a
Externí odkaz:
http://arxiv.org/abs/2409.18864
We present a two-phase field model and a hybrid particle-phase field model to simulate dilute colloidal sedimentation and flotation near a liquid-gas interface (or fluid-fluid interface in general). Both models are coupled to the incompressible Stoke
Externí odkaz:
http://arxiv.org/abs/2407.18850
With the development of ferroelectric memories, it is becoming increasingly important to understand the ferroelectric switching behaviors at small applied electric fields. In this letter, we use a discretized phase-field model to systematically inves
Externí odkaz:
http://arxiv.org/abs/2409.12496
Physics-informed neural networks (PINNs) are an emerging technique to solve partial differential equations (PDEs). In this work, we propose a simple but effective PINN approach for the phase-field model of ferroelectric microstructure evolution. This
Externí odkaz:
http://arxiv.org/abs/2409.02959
A nonlinear phase-field model is developed to simulate corrosion damage. The motion of the electrode$-$ electrolyte interface follows the usual kinetic rate theory for chemical reactions based on the Butler-Volmer equation. The model links the surfac
Externí odkaz:
http://arxiv.org/abs/2408.14905
In this paper, we present two multiple scalar auxiliary variable (MSAV)-based, finite element numerical schemes for the Abels-Garcke-Gr{\"u}n (AGG) model, which is a thermodynamically consistent phase field model of two-phase incompressible flows wit
Externí odkaz:
http://arxiv.org/abs/2408.04371