Molecular Dynamics Simulations of Low Energy Displacement Cascades in Silicon.

1988 ◽  
Vol 128 ◽  
Author(s):  
A. M. Mazzone
Keyword(s):  
Molecular Dynamics ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Silicon Crystal ◽  
Simulation Method ◽  
Low Energy ◽  
Dynamics Simulation ◽  
Monte Carlo Simulation Method ◽  
Displacement Cascades ◽  
Dynamics Simulations

ABSTRACTDisplacement cascades formed in a silicon crystal by As+ and Si+ ions with energy in the range 50–500 eV are constructed with a molecular dynamics and a Monte Carlo simulation method. Conspicuous spike effects are observed with the molecular dynamics simulation.

Crystalline-Amorphous Interface: Molecular Dynamics Simulation of Thermal Conductivity

2001 ◽  
Vol 703 ◽  
Author(s):  
Sebastian von Alfthan ◽  
Antti Kuronen ◽  
Kimmo Kaski
Keyword(s):  
Thermal Conductivity ◽  
Molecular Dynamics ◽  
Monte Carlo Simulation ◽  
Heat Conduction ◽  
Room Temperature ◽  
Simulation Method ◽  
Dynamics Simulation ◽  
Monte Carlo Simulation Method ◽  
Silicon System ◽  
Dynamics Simulations

ABSTRACTEffect of a crystalline-amorphous interface on heat conduction has been studied using atom-istic simulations of a silicon system. System with amorphous silicon was created using the bond-switching Monte Carlo simulation method and heat conduction near room temperature was studied by molecular dynamics simulations of this system.

scholarly journals Uncertainty Cost Functions in Climate-Dependent Controllable Loads in Commercial Environments

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2885
Author(s):  
Daniel Losada ◽  
Ameena Al-Sumaiti ◽  
Sergio Rivera
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Simulation Method ◽  
Electricity Sector ◽  
Cost Functions ◽  
Density Estimator ◽  
Monte Carlo Simulation Method ◽  
Commercial Building ◽  
Complementary Method ◽  
The Cost

This article presents the development, simulation and validation of the uncertainty cost functions for a commercial building with climate-dependent controllable loads, located in Florida, USA. For its development, statistical data on the energy consumption of the building in 2016 were used, along with the deployment of kernel density estimator to characterize its probabilistic behavior. For validation of the uncertainty cost functions, the Monte-Carlo simulation method was used to make comparisons between the analytical results and the results obtained by the method. The cost functions found differential errors of less than 1%, compared to the Monte-Carlo simulation method. With this, there is an analytical approach to the uncertainty costs of the building that can be used in the development of optimal energy dispatches, as well as a complementary method for the probabilistic characterization of the stochastic behavior of agents in the electricity sector.

Molecular Dynamics Simulation of Sputtering with Mmany-Body Interactions

1988 ◽  
Vol 100 ◽  
Author(s):  
Davy Y. Lo ◽  
Tom A. Tombrello ◽  
Mark H. Shapiro ◽  
Don E. Harrison
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulation ◽  
Single Crystal ◽  
Low Energy ◽  
Dynamics Simulation ◽  
Embedded Atom Method ◽  
Many Body ◽  
Embedded Atom ◽  
Dynamics Simulations ◽  
Small Single Crystal

ABSTRACTMany-body forces obtained by the Embedded-Atom Method (EAM) [41 are incorporated into the description of low energy collisions and surface ejection processes in molecular dynamics simulations of sputtering from metal targets. Bombardments of small, single crystal Cu targets (400–500 atoms) in three different orientations ({100}, {110}, {111}) by 5 keV Ar+ ions have been simulated. The results are compared to simulations using purely pair-wise additive interactions. Significant differences in the spectra of ejected atoms are found.

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