Results 261 to 270 of about 1,322,830 (294)
Some of the next articles are maybe not open access.

Modeling Melt Convection in Phase-Field Simulations of Solidification

Journal of Computational Physics, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Beckermann, C.   +4 more
openaire   +2 more sources

A Scalable Implicit Solver for Phase Field Crystal Simulations

2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, 2013
The phase field crystal equation (PFC) is a popular model for simulating micro-structures in materials science and is very computationally expensive to solve. A highly scalable solver for PFC modeling is presented in this paper. The equation is discredited with a stabilized implicit finite difference method and the time step size is adaptively ...
Chao Yang 0002, Xiao-Chuan Cai
openaire   +1 more source

Isogeometric Phase-Field Simulation of Boiling

2016
In this work we consider the Navier–Stokes–Korteweg equations, a diffuse-interface model describing liquid–vapor phase transitions. A numerical scheme for this model is constructed based on functional entropy variables and a new time integration concept.
Ju Liu, Thomas J. R. Hughes
openaire   +1 more source

Phase-field simulations of partial melts in geological materials

Computers & Geosciences, 2009
A diffuse interface description based on a multi-phase-field model for geological grain microstructures is introduced, especially useful in the treatment of partially molten structures. Each grain as well as different phases are represented by individual non-conserved order parameters, the phase fields @f"@a, which are defined on the complete ...
Frank Wendler   +4 more
openaire   +1 more source

Phase field simulations of ferroelectric materials

2014
Ferroelectric materials have become preferred materials in a wide variety of electronic and mechatronic devices due to their pronounced dielectric, piezoelectric, and pyroelectric properties. The material macroscopic properties are related to the microscopic domain structure of the materials.
openaire   +2 more sources

Phase-field-crystal simulation of nonequilibrium crystal growth

Physical Review E, 2014
By using the phase field crystal model, we simulate the morphological transition of the crystal growth of equilibrium crystal shape, dendrite, and spherical crystal shape. The relationship among growth morphology, velocity, and density distribution is investigated.
Sai, Tang   +6 more
openaire   +2 more sources

Extreme Scale Phase-Field Simulation of Sintering Processes

2019 IEEE/ACM 10th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA), 2019
The sintering process, which turns loose powders into dense materials, is naturally found in the formation of glaciers, but is also the indispensable process to manufacture ceramic materials. The dynamically evolving microstructure, which is established during this process, largely influences the resulting material properties.
Henrik Hierl   +4 more
openaire   +2 more sources

Phase field simulations of the ferroelectric materials

2016
In the PhD research, phase field simulations were conducted to study the polarization behavior and properties of ferroelectric materials. Four aspects of ferroelectric materials were simulated, which are 1) electrocaloric effect, 2) the influence of dislocation walls, 3) fracture; and 4) the influence of {111} twins.
openaire   +2 more sources

Phase-Field Modeling and Simulation of the Zone Melting Purification Process

SIAM Journal on Applied Mathematics, 2014
Summary: Zone melting is an efficient purification method that is widely used in the manufacture of semiconductors. Recently, it has been used in the purification of industrial phosphorus [\textit{Z. Zhang} et al., ``Purification of phosphorus by a zero pollution zone melting technique'', Sep. Purif. Tech.
Zhen Zhang   +2 more
openaire   +3 more sources

The phase field simulation of autocatalytic nucleation

2017
Precipitation of metastable θ′ phase is a well known process that underlies age-hardening of Al-Cu alloys. The strength acquired is very sensitive to the morphology and spatial distribution of θ′, with the peak hardness corresponding to a fine distribution of precipitates with high length-to-thickness aspect ratio.
openaire   +1 more source

Home - About - Disclaimer - Privacy