Tags: Monte Carlo
Resources
Tools
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9.8 Ranking Ringgenberg: Berkeley Computational Nanoscience ...
Berkeley Computational Nanoscience Class Tools
Type Tools Contributor(s) Joe Ringgenberg, daniel richards, Elif Ertekin, Jeffrey C Grossman Date 24 Jan. 2008 Avg. Rating (13) Rate this Tools for UC Berkeley Computational Nanoscience course, Spring 2008
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8.8 Ranking Ahmed: Quamc2D
Quamc2D
Type Tools Contributor(s) Shaikh S. Ahmed, Dragica Vasileska Date 23 Feb. 2007 Avg. Rating (1) Rate this Quantum-corrected Monte-Carlo transport simulator for two-dimensional MOSFET devices.
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8.6 Ranking Klausmeier-Brown: DEMONs
DEMONs
Type Tools Contributor(s) M. E. Klausmeier-Brown, C. M. Maziar, P. E. Dodd, M. A. Stettler, Xufeng Wang, Gerhard Klimeck Date 31 Oct. 2006 Avg. Rating (2) Rate this Monte Carlo analysis of 1D semiconductor devices
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8.6 Ranking Wagner: QWalk: Quantum Monte Carlo
QWalk: Quantum Monte Carlo
Type Tools Contributor(s) Lucas Wagner, Jeffrey C Grossman, Jeffrey B. Neaton Date 15 Jun. 2007 Avg. Rating (2) Rate this Quantum Monte Carlo methods solve the Schrodinger equation for many electrons to high accuracy--exactly in some cases. In most implementations, it also has favorable scaling with system size, approximately the same as mean-field theories like density functional theory, although with a larger ...
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8.4 Ranking Toghraee: BioMOCA Demo
BioMOCA Demo
Type Tools Contributor(s) Reza Toghraee, Umberto Ravaioli Date 14 Mar. 2008 Avg. Rating (4) Rate this Transport Monte Carlo simulation of conduction in biological Ionic Channels.
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6.4 Ranking Papke: BioMOCA Suite
BioMOCA Suite
Type Tools Contributor(s) David Papke, Reza Toghraee, Umberto Ravaioli, Ankit Raj Date 14 Feb. 2008 Avg. Rating (0) Rate this Simulates ion flow through a channel.
Online Presentations
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8.7 Ranking Smith: Materials Science on the Atomic ...
Materials Science on the Atomic Scale with the 3-D Atom Probe
Type Online Presentations Contributor(s) George D. W. Smith Date 16 Nov. 2006 Avg. Rating (0) Rate this Some of the key goals of materials science and technology are to be able to design a material from first principles, to predict its behaviour, and also to optimise the processing route for its manufacture. In recent years, these goals have come closer to realisation, thanks in part to the ...
- 6.9 Ranking Ravaioli: Review of Several Quantum Solvers ...
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5.2 Ranking Jiang: Molecular modeling of lipid ...
Molecular modeling of lipid bilayer edge and hybrid-MCMD method: Implementation and application
Type Online Presentations Contributor(s) Yong Jiang Date 29 Apr. 2008 Avg. Rating (0) Rate this Introduction to mixed lipid systems, Hybrid Monte Carlo and MD (atomistic) algorithm for mixed lipid systems
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0.0 Ranking Vasileska: Quantum and Thermal Effects in ...
Quantum and Thermal Effects in Nanoscale Devices
Type Online Presentations Contributor(s) Dragica Vasileska Date 18 Sep. 2008 Avg. Rating (0) Rate this To investigate lattice heating within a Monte Carlo device simulation framework, we simultaneously solve the Boltzmann transport equation for the electrons, the 2D Poisson equation to get the self-consistent fields and the hydrodynamic equations for acoustic and optical phonons. The phonon ...
Teaching Materials
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10.0 Ranking Alam: Homework for Monte Carlo Method: ...
Homework for Monte Carlo Method: High field transport in Bulk Si
Type Teaching Materials Contributor(s) Muhammad A. Alam Date 06 Jan. 2006 Avg. Rating (1) Rate this This homework assignment is part of ECE 656 "Electronic Transport in Semiconductors" (Purdue University). It contains 10 problems which lead students through the simulation of high-field transport in bulk silicon.
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10.0 Ranking Grossman: Computational Nanoscience, Lecture ...
Computational Nanoscience, Lecture 4: Geometry Optimization and Seeing What You're Doing
Type Teaching Materials Contributor(s) Jeffrey C Grossman, Elif Ertekin Date 13 Feb. 2008 Avg. Rating (1) Rate this In this lecture, we discuss various methods for finding the ground state structure of a given system by minimizing its energy. Derivative and non-derivative methods are discussed, as well as the importance of the starting guess and how to find or generate good initial structures. We also briefly ...
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10.0 Ranking Grossman: Computational Nanoscience, Lecture ...
Computational Nanoscience, Lecture 7: Monte Carlo Simulation Part I
Type Teaching Materials Contributor(s) Jeffrey C Grossman, Elif Ertekin Date 15 Feb. 2008 Avg. Rating (1) Rate this The purpose of this lecture is to introduce Monte Carlo methods as a form of stochastic simulation. Some introductory examples of Monte Carlo methods are given, and a basic introduction to relevant concepts in statistical mechanics is presented. Students will be introduced to the Metropolis ...
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10.0 Ranking Ertekin: Computational Nanoscience, Lecture ...
Computational Nanoscience, Lecture 8: Monte Carlo Simulation Part II
Type Teaching Materials Contributor(s) Elif Ertekin, Jeffrey C Grossman Date 15 Feb. 2008 Avg. Rating (1) Rate this In this lecture, we continue our discussion of Monte Carlo simulation. Examples from Hard Sphere Monte Carlo simulations based on the Metropolis algorithm and from Grand Canonical Monte Carlo simulations of fullerene growth on spherical surfaces are presented. A discussion of meaningful ...
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10.0 Ranking Ertekin: Computational Nanoscience, Lecture ...
Computational Nanoscience, Lecture 9: Hard-Sphere Monte Carlo In-Class Simulation
Type Teaching Materials Contributor(s) Elif Ertekin, Jeffrey C Grossman Date 20 Feb. 2008 Avg. Rating (1) Rate this In this lecture we carry out simulations in-class, with guidance from the instructors. We use the HSMC tool (within the nanoHUB simulation toolkit for this course). The hard sphere system is one of the simplest systems which exhibits an order-disorder phase transition, which we will explore with ...
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9.3 Ranking Ertekin: Computational Nanoscience, ...
Computational Nanoscience, Homework Assignment 4: Hard-Sphere Monte Carlo and Ising Model
Type Teaching Materials Contributor(s) Elif Ertekin, Jeffrey C Grossman Date 05 Mar. 2008 Avg. Rating (1) Rate this In this assignment, you will explore the use of Monte Carlo techniques to look at (1) hard-sphere systems and (2) Ising model of the ferromagnetic-paramagnetic phase transition in two-dimensions. This assignment is to be completed following lecture 12 and using the "Hard Sphere Monte Carlo" and ...
Publications
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7.5 Ranking Papke: Practical Introduction to the ...
Practical Introduction to the BioMOCA Suite
Type Publications Contributor(s) David Papke Date 23 Apr. 2008 Avg. Rating (0) Rate this In this presentation, I describe how to use the online BioMOCA Suite. I explain how to prepare the .pqr input protein structure from a .pdb structure. I then explain in detail how to use each of the four subtools in the BioMOCA Suite. I do not cover in detail how the BioMOCA code works. If you ...
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5.3 Ranking Vasileska: Consistent Parameter Set for an ...
Consistent Parameter Set for an Ensemble Monte Carlo Simulation of 4H-SiC
Type Publications Contributor(s) Dragica Vasileska Date 02 Jul. 2008 Avg. Rating (0) Rate this A consistent parameter set is presented for Ensemble Monte Carlo simulation that simultaneously reproduces the experimental low-field and high-field characteristic transport parameters of 4H SiC.D. Vasileska and S. M. Goodnick, Computational Electronics, Morgan and Claypool, 2006.Freescale ...
Workshops
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0.2 Ranking IWCE 2004 Held at Purdue
IWCE 2004 Held at Purdue
Type Workshops Contributor(s) Date 08 Feb. 2005 Avg. Rating (0) Rate this IEEE and NCN sponsored the 10th International Workshop of Computational Electronics at Purdue, October 24-27, with the theme "The field of Computational Electronics - Looking back and looking ahead."
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