Monte-Carlo planning algorithms such as UCT make decisions at each step by
intelligently expanding a single search tree given the available time and then
selecting the best root action. Recent work has provided evidence that it can be
advantageous to instead construct an ensemble of search trees and make a...
For over 30 years, the Implicit Monte Carlo (IMC) method has been used to
solve challenging problems in thermal radiative transfer. These problems are typically optically thick and di ffusive, as a consequence of the high degree of "pseudo-scattering" introduced to model the absorption and reemission of photons from a...
Random fields are frequently used in computational simulations of real-life processes. In particular, in this work they are used in modeling of flow and transport in porous media. Porous media as they arise in geological formations are intrinsically deterministic but there is significant uncertainty involved in determination of their properties...
This thesis presents the results from Monte Carlo calculations on classical vector spins in
face-centered-cubic (FCC) lattices. The goal of the study was to understand the effect of
interlayer coupling, dilution of magnetic atoms in the lattice, and symmetry-changing
strain.
Experimental work by T. M. Giebultowicz et al. and J....
The implicit Monte Carlo (IMC) method [16] for radiative transfer, developed in 1971, provides numerical solutions to the tightly-coupled, highly-nonlinear radiative heat transfer equations in many physical situations. Despite its popularity, there are instances of overheating in the solution for particular choices of time steps and spatial grid sizes. To...
Radiation therapy treatment planning and optimization requires accurate, precise,
and fast computation of absorbed dose to all critical and target volumes in a patient. A
new method for speeding up the computational costs of Monte Carlo dose calculations is
described that employs a hybrid classical-quantum computing architecture.
Representative results are...
Monte Carlo simulation is used to quantify and characterize uncertainty in a variety of applications such as financial/engineering economic analysis, and project management. The dependence or correlation between the random variables modeled can also be simulated to add more accuracy to simulations. However, there exists a difference between how correlation...
Coastal flood hazard zones and the design of coastal defenses are often devised using either the maximum recorded total water level (TWL) or a 'design' event such as the 100-year return-level flood, usually projected from observed extreme events. Despite technological advances driving more consistent instrumental records of wave heights and...
The International Handbook of Evaluated Reactor Physics Benchmark Experiments contains detailed descriptions of many different reactor facilities. A large portion of these experiments have not been fully modeled due to the unavailability of computational power at the time of the experiment’s execution. With the advent of renewed interest in Sodium...
The International Commission on Radiological Protection (ICRP) has modeled twelve reference animals and plants (RAPs) with simple geometric shapes to be used when estimating radiation dose to non-human biota (NHB). In recent years, there has been interest in creating more realistic models in order to better understand the radiation interactions...