C
Ciprian G. Gal
Researcher at Florida International University
Publications - 96
Citations - 2440
Ciprian G. Gal is an academic researcher from Florida International University. The author has contributed to research in topics: Boundary value problem & Attractor. The author has an hindex of 25, co-authored 92 publications receiving 2052 citations. Previous affiliations of Ciprian G. Gal include University of Memphis & Morgan State University.
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Asymptotic behavior of a Cahn-Hilliard-Navier-Stokes system in 2D
TL;DR: In this article, a model for the flow of a mixture of two homogeneous and incompressible fluids in a two-dimensional bounded domain is considered, where the model consists of a Navier-Stokes equation governing the fluid velocity coupled with a convective Cahn-Hilliard equation for the relative density of atoms of one of the fluids.
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Trajectory attractors for binary fluid mixtures in 3D
TL;DR: In this article, two different models for the evolution of incompressible binary fluid mixtures in a three-dimensional bounded domain are considered and the existence of the trajectory attractor for both systems is proved.
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The non-isothermal Allen-Cahn equation with dynamic boundary conditions
TL;DR: In this paper, the authors consider a model of nonisothermal phase transitions taking place in a bounded spatial region and formulate a class of initial and boundary value problems whose local existence and uniqueness is proven by means of a fixed point argument.
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On nonlocal Cahn-Hilliard-Navier-Stokes systems in two dimensions
TL;DR: In this paper, the authors considered a diffuse interface model which describes the motion of an incompressible isothermal mixture of two immiscible fluids and showed the weak-strong uniqueness in the case of viscosity depending on the order parameter.
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A Cahn–Hilliard model in bounded domains with permeable walls
TL;DR: In this paper, a model of phase separation in a binary mixture confined to a bounded region which may be contained within porous walls is proposed, where the boundary conditions are derived from a mass conservation law and variational methods.