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Monte Carlo methods are a class of computational algorithms that rely on repeated random sampling to compute their results. Monte Carlo methods are often used in simulating physical and mathematical systems. Because of their reliance on repeated computation of random or pseudo-random numbers, these methods are most suited to calculation by a computer and tend to be used when it is unfeasible or impossible to compute an exact result with a deterministic algorithm.
Learn more about quantum dots from the many resources on this site, listed below. More information on Monte Carlo method can be found here.
Multilevel Markov Chain Monte Carlo for Uncertainty Quantification in Subsurface Flow
04 Feb 2016 | Online Presentations | Contributor(s): Christian Ketelsen
The multilevel Monte Carlo method has been shown to be an effective variance reduction technique for quantifying uncertainty in subsurface flow simulations when the random conductivity field can...
High Dimensional Uncertainty Quantification via Multilevel Monte Carlo
04 Feb 2016 | Online Presentations | Contributor(s): Hillary Fairbanks
Multilevel Monte Carlo (MLMC) has been shown to be a cost effective way to compute moments of desired quantities of interest in stochastic partial differential equations when the uncertainty in...
Study of the Interface Roughness Models using 3D Finite Element Schrödinger Equation Corrected Monte Carlo Simulator on Nanoscaled FinFET
25 Jan 2016 | Online Presentations | Contributor(s): Daniel Nagy, Muhammad Ali A. Elmessary, Manuel Aldegunde, Karol Kalna
IWCE 2015 presentation. Interface roughness scattering (IRS) is one of the key limiting scattering mechanism for both planar and non-planar CMOS devices. To predict the performance of future...
Sensitivity Analysis of Multiscale Reaction Networks with Stochastic Averaging
25 Jan 2016 | Online Presentations | Contributor(s): Araz Ryan Hashemi
We shall show how stochastic averaging may be employed to speed computations and obtain estimates of mean values and sensitivities with respect to the steady state distribution. Further, we shall...
Anisotropic Schrödinger Equation Quantum Corrections for 3D Monte Carlo Simulations of Nanoscale Multigate Transistors
05 Jan 2016 | Online Presentations | Contributor(s): Karol Kalna, Muhammad Ali A. Elmessary, Daniel Nagy, Manuel Aldegunde
IWCE 2015 presentation. We incorporated anisotropic 2D Schrodinger equation based quantum corrections (SEQC) that depends on valley orientation into a 3D Finite Element (FE) Monte Carlo (MC)...
Atomistic Modeling: Past, Present, and Future, MGI, ICME, etc.
03 Nov 2015 | Online Presentations | Contributor(s): Paul Saxe
I will present a perspective on atomistic modeling — tools using quantum methods such as DFT, as well as molecular dynamics and Monte Carlo methods based on forcefields — over the past...
Lecture 3: The Wigner Monte Carlo Method for Density Functional Theory
18 Nov 2014 | Online Presentations | Contributor(s): Jean Michel D Sellier
In this lecture, Dr. Sellier discusses the Wigner Monte Carlo method in the framework of density functional theory (DFT).
kinetic Monte Carlo Simulations (kMC)
25 Mar 2014 | Presentation Materials | Contributor(s): Jingyuan Liang, R. Edwin García, Ding-Wen Chung
kMC is a set of scientific libraries designed to deploy kinetic Monte Carlo simulations (kMC). kMC allows the user to intuitively generate single component crystal lattices to simulate, post...
Carbon Nanotube Electronics: Modeling, Physics, and Applications
28 Jun 2013 | Papers | Contributor(s): Jing Guo
In recent years, significant progress in understanding the physics of carbon nanotube electronic devices and in identifying potential applications has occurred. In a nanotube, low bias transport...
Exciton Dynamics Simulator
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12 Apr 2013 | Tools | Contributor(s): Michael Heiber
Simulates the exciton dynamics in organic photovolatic devices
ECE 695A Lecture 14a: Voltage Dependent HCI I
19 Feb 2013 | Online Presentations | Contributor(s): Muhammad Alam
Background and Empirical Observations
Theory of Hot Carriers: Hydrodynamic Model
Theory of Hot Carriers: Monte Carlo Model
Theory of Hot Carriers: Universal...
ECE 695A Lecture 14b: Voltage Dependent HCI II
[Illinois] CSE Seminar Series: Advances in First-principles Computational Materials Science
20 Nov 2012 | Online Presentations | Contributor(s): Elif Ertekin
Title: Advances in first-principles computational materials science
Subtitle: Things we can calculate now, that we couldn't when I was in grad school.
The capability to rationally design new...
Particle Simulations of Ion Generation and Transport in Microelectromechanical Systems and Micropropulsion
29 May 2012 | Online Presentations | Contributor(s): Venkattraman Ayyaswamy
The first part of the talk deals with use of the PIC method with Monte Carlo collisions (MCC) between electrons and the ambient neutral gas to develop models to predict charge accumulation,...
ECE 656 Lecture 41: Transport in a Nutshell
21 Feb 2012 | Online Presentations | Contributor(s): Mark Lundstrom
ECE 656 Lecture 34a: Monte Carlo Simulation I
Review of carrier scattering
Simulating carrier trajectories
Update after collision
Putting it all together
ECE 656 Lecture 34b: Monte Carlo Simulation II
ECE 656 Lecture 32: Balance Equation Approach III
19 Jan 2012 | Online Presentations | Contributor(s): Mark Lundstrom
Review of L31
Carrier temperature and heat flux
Discussion about Ion Channels Using Reduced Model Approaches
21 Sep 2011 | Online Presentations | Contributor(s): James Fonseca
The seminar will cover the reasons how the channels are able to selectively permit the flow of certain species of ions while blocking other physiological cations.
Test for Monte Carlo Learning Module
30 Jul 2011 | Teaching Materials | Contributor(s): Dragica Vasileska, Gerhard Klimeck
this is a test for the MC Learning Module.