121 |
Three-dimensional Monte Carlo simulation of ion implantationLi, Di 28 August 2008 (has links)
Not available / text
|
122 |
Investigation of stochastic radiation transport methods in random heterogeneous mixturesReinert, Dustin Ray, 1982- 29 August 2008 (has links)
Among the most formidable challenges facing our world is the need for safe, clean, affordable energy sources. Growing concerns over global warming induced climate change and the rising costs of fossil fuels threaten conventional means of electricity production and are driving the current nuclear renaissance. One concept at the forefront of international development efforts is the High Temperature Gas-Cooled Reactor (HTGR). With numerous passive safety features and a meltdown-proof design capable of attaining high thermodynamic efficiencies for electricity generation as well as high temperatures useful for the burgeoning hydrogen economy, the HTGR is an extremely promising technology. Unfortunately, the fundamental understanding of neutron behavior within HTGR fuels lags far behind that of more conventional watercooled reactors. HTGRs utilize a unique heterogeneous fuel element design consisting of thousands of tiny fissile fuel kernels randomly mixed with a non-fissile graphite matrix. Monte Carlo neutron transport simulations of the HTGR fuel element geometry in its full complexity are infeasible and this has motivated the development of more approximate computational techniques. A series of MATLAB codes was written to perform Monte Carlo simulations within HTGR fuel pebbles to establish a comprehensive understanding of the parameters under which the accuracy of the approximate techniques diminishes. This research identified the accuracy of the chord length sampling method to be a function of the matrix scattering optical thickness, the kernel optical thickness, and the kernel packing density. Two new Monte Carlo methods designed to focus the computational effort upon the parameter conditions shown to contribute most strongly to the overall computational error were implemented and evaluated. An extended memory chord length sampling routine that recalls a neutron’s prior material traversals was demonstrated to be effective in fixed source calculations containing densely packed, optically thick kernels. A hybrid continuous energy Monte Carlo algorithm that combines homogeneous and explicit geometry models according to the energy dependent optical thickness was also developed. This resonance switch approach exhibited a remarkably high degree of accuracy in performing criticality calculations. The versatility of this hybrid modeling approach makes it an attractive acceleration strategy for a vast array of Monte Carlo radiation transport applications. / text
|
123 |
Monte Carlo simulation of MeV ion implantation with computationally efficient modelsWang, Greg 11 April 2011 (has links)
Not available / text
|
124 |
Quantum statistical mechanics: a Monte Carlo study of clusters鄒鳳嬌, Chow, Fung-kiu. January 2000 (has links)
published_or_final_version / Physics / Master / Master of Philosophy
|
125 |
HIGH-SPEED MONTE CARLO TECHNIQUE FOR HYBRID-COMPUTER SOLUTION OF PARTIAL DIFFERENTIAL EQUATIONSHandler, Howard January 1967 (has links)
No description available.
|
126 |
HYBRID COMPUTER OPTIMIZATION OF SYSTEMS WITH RANDOM PARAMETERSWhite, Robert Cantey, 1942- January 1970 (has links)
No description available.
|
127 |
The initiator full configuration interaction quantum Monte Carlo method : development and applications to molecular systemsCleland, Deidre Mary January 2012 (has links)
No description available.
|
128 |
Simulation-based methods for stochastic optimizationHomem de Mello, Tito 08 1900 (has links)
No description available.
|
129 |
Monte Carlo analysis of the neutron physics of a particular detection systemDanesh, Iraj 12 1900 (has links)
No description available.
|
130 |
GENERATING RANDOM SHAPES FOR MONTE CARLO ACCURACY TESTING OF PAIRWISE COMPARISONSAlmowanes, Abdullah 08 October 2013 (has links)
This thesis shows highly encouraging results as the gain of accuracy reached 18.4%
when the pairwise comparisons method was used instead of the direct method for comparing
random shapes. The thesis describes a heuristic for generating random but nice
shapes, called placated shapes. Random, but visually nice shapes, are often needed
for cognitive experiments and processes. These shapes are produced by applying the
Gaussian blur to randomly generated polygons. Afterwards, the threshold is set to
transform pixels to black and white from di erent shades of gray. This transformation
produces placated shapes for easier estimation of areas. Randomly generated
placated shapes are used to perform the Monte Carlo method to test the accuracy of
cognitive processes by using pairwise comparisons. An on-line questionnaire has been
implemented and participants were asked to estimate the areas of ve shapes using a
provided unit of measure. They were also asked to compare the shapes in pairs. Such
Monte Carlo experiment has never been conducted for 2D case. The received results
are of considerable importance.
|
Page generated in 0.0247 seconds