Investigating the Number of Monte Carlo Simulations for Statistically Stationary Model Outputs

Monte Carlo algorithms for stationary device simulations

The stochastic method used to simulate the stationary transport in semiconductor devices is revised in terms of the numerical Monte Carlo theory. A mathematically based approach has been used to derive the basic simulation algorithms, previously devised from physical considerations. The approach reveals novel properties of the method. It is shown that the method can be interpreted as a regenera...

investigating the feasibility of a proposed model for geometric design of deployable arch structures

deployable scissor type structures are composed of the so-called scissor-like elements (sles), which are connected to each other at an intermediate point through a pivotal connection and allow them to be folded into a compact bundle for storage or transport. several sles are connected to each other in order to form units with regular polygonal plan views. the sides and radii of the polygons are...

Investigating the impossible: Monte Carlo simulations

Faster Quasi Random Number Generator for Most Monte Carlo Simulations

Generating quasi-random sequences for Monte Carlo simulations has been proved of interest when comparing results with numbers coming from conventional pseudorandom sequences. Despite a fair amount of sound theoretical work on random number generation algorithms, theoretical gain is often eradicated by poor computer implementations. Recently, one of the authors of this paper showed that massive ...

Monte Carlo Simulations of Model Nematic Droplets

We present Monte Carlo computer simulations of model nematic droplets with radial boundary conditions and various anchoring strengths and we investigate the orientational order and the molecular organizations in these systems that mimic polymer dispersed liquid crystals (PDLC). We find a hedgehog organization at high anchoring strengths and that an ordered domain is created in the droplet cente...