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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.
Exciton Dynamics Simulator
31 Dec 2012 | | Contributor(s):: Michael Heiber
Simulates the exciton dynamics in organic photovolatic devices
Archimedes, GNU Monte Carlo simulator
29 May 2008 | | Contributor(s):: Jean Michel D Sellier
GNU Monte Carlo simulation of 2D semiconductor devices, III-V materials
30 May 2006 | | Contributor(s):: Reza Toghraee, Umberto Ravaioli
Ion channel simulator
04 Feb 2008 | | Contributor(s):: David Papke, Reza Toghraee, Umberto Ravaioli, Ankit Raj
Simulates ion flow through a channel.
MIT Atomic-Scale Modeling Toolkit
15 Jan 2008 | | Contributor(s):: daniel richards, Elif Ertekin, Jeffrey C Grossman, David Strubbe, Justin Riley
Tools for Atomic-Scale Modeling
QWalk Quantum Monte Carlo Tutorial
15 Jun 2007 | | Contributor(s):: Lucas Wagner, Jeffrey C Grossman, Jeffrey B. Neaton, Ian Michael Rousseau
An accurate method to calculate the many body ground state of electrons
Illinois Tools: MOCA
28 Mar 2007 | | Contributor(s):: Mohamed Mohamed, Umberto Ravaioli, Nahil Sobh, derrick kearney, Kyeong-hyun Park
2D Full-band Monte Carlo (MOCA) Simulation for SOI-Based Device Structures
13 Mar 2006 | | Contributor(s):: Shaikh S. Ahmed, Dragica Vasileska
Quantum-corrected Monte-Carlo electron transport simulator for two-dimensional MOSFET devices.
31 Oct 2006 | | Contributor(s):: , , Paul Dodd, M. A. Stettler, Xufeng Wang, Gerhard Klimeck
Improved program consists of DEMON and SDEMON