299,018 research outputs found
Defect structures and torque on an elongated colloidal particle immersed in a liquid crystal host
Combining molecular dynamics and Monte Carlo simulation we study defect
structures around an elongated colloidal particle embedded in a nematic liquid
crystal host. By studying nematic ordering near the particle and the
disclination core region we are able to examine the defect core structure and
the difference between two simulation techniques. In addition, we also study
the torque on a particle tilted with respect to the director, and modification
of this torque when the particle is close to the cell wall
Particle-based simulation of ellipse-shaped particle aggregation as a model for vascular network formation
Computational modelling is helpful for elucidating the cellular mechanisms
driving biological morphogenesis. Previous simulation studies of blood vessel
growth based on the Cellular Potts model (CPM) proposed that elongated,
adhesive or mutually attractive endothelial cells suffice for the formation of
blood vessel sprouts and vascular networks. Because each mathematical
representation of a model introduces potential artifacts, it is important that
model results are reproduced using alternative modelling paradigms. Here, we
present a lattice-free, particle-based simulation of the cell elongation model
of vasculogenesis. The new, particle-based simulations confirm the results
obtained from the previous Cellular Potts simulations. Furthermore, our current
findings suggest that the emergence of order is possible with the application
of a high enough attractive force or, alternatively, a longer attraction
radius. The methodology will be applicable to a range of problems in
morphogenesis and noisy particle aggregation in which cell shape is a key
determining factor.Comment: 9 pages, 11 figures, 2 supplementary videos (on Youtube), submitted
to Computational Particle Mechanics, special issue: Jos\'e-Manuel Garcia
Aznar (Ed.) Particle-based simulations on cell and biomolecular mechanic
Weibel instability and associated strong fields in a fully 3D simulation of a relativistic shock
Plasma instabilities (e.g., Buneman, Weibel and other two-stream
instabilities) excited in collisionless shocks are responsible for particle
(electron, positron, and ion) acceleration. Using a new 3-D relativistic
particle-in-cell code, we have investigated the particle acceleration and shock
structure associated with an unmagnetized relativistic electron-positron jet
propagating into an unmagnetized electron-positron plasma. The simulation has
been performed using a long simulation system in order to study the nonlinear
stages of the Weibel instability, the particle acceleration mechanism, and the
shock structure. Cold jet electrons are thermalized and slowed while the
ambient electrons are swept up to create a partially developed hydrodynamic
(HD) like shock structure. In the leading shock, electron density increases by
a factor of 3.5 in the simulation frame. Strong electromagnetic fields are
generated in the trailing shock and provide an emission site. We discuss the
possible implication of our simulation results within the AGN and GRB context.Comment: 4 pages, 3 figures, ApJ Letters, in pres
Particle In Cell Simulation of Combustion Synthesis of TiC Nanoparticles
A coupled continuum-discrete numerical model is presented to study the
synthesis of TiC nanosized aggregates during a self-propagating combustion
synthesis (SHS) process. The overall model describes the transient of the basic
mechanisms governing the SHS process in a two-dimensional micrometer size
geometry system. At each time step, the continuum (micrometer scale) model
computes the current temperature field according to the prescribed boundary
conditions. The overall system domain is discretized with a desired number of
uniform computational cells. Each cell contains a convenient number of
computation particles which represent the actual particles mixture. The
particle-in-cell (discrete) model maps the temperature field from the
(continuum) cells to the respective internal particles. Depending on the
temperature reached by the cell, the titanium particles may undergo a
solid-liquid transformation. If the distance between the carbon particle and
the liquid titanium particles is within a certain tolerance they will react and
a TiC particle will be formed in the cell. Accordingly, the molecular dynamic
method will update the location of all particles in the cell and the amount of
transformation heat accounted by the cell will be entered into the source term
of the (continuum) heat conduction equation. The new temperature distribution
will progress depending on the cells which will time-by-time undergo the
chemical reaction. As a demonstration of the effectiveness of the overall model
some paradigmatic examples are shown.Comment: submitted to Computer Physics Communication
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