kinetic monte carlo
Ar+'s impact on Cu(001) : a combined study of moleculair dynamics and kinetic Monte Carlo simulations and scanning tunneling : microscopy experiments of sputtering processes on Cu(001)
... Thin film technology has become an important technology in the fabrication of many modern devices such as large scale integrated circuits and optical thin films. To improve the performance of thin films and to ...
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Lattice Kinetic Monte Carlo Simulations of Platelet Aggregation and Deposition
... Platelet aggregation is an essential process in forming a stable clot to prevent blood loss. The response of platelets to a complex signal of pro-clotting agonists determines the stability and size of the resulting clot. ...
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Test Simulations of Temperature Screening Effect by using Kinetic Monte Carlo Model
... Temperature Screening Effect (TSE) on the impurity transport in fusion plasmas has been studied by a kinetic Monte Carlo simulation model [Y. Homma and A. Hatayama, J. Comput. Phys. 250, 206 (2013)]. ...
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Self organization of Ce adatoms on Ag(111): a kinetic Monte Carlo study
... 共 Received 31 January 2006; revised manuscript received 9 May 2006; published 18 July 2006 兲 One of the most fascinating experimental results in fabrication of artificial nanostructures is the creation of the ...
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The Lattice Kinetic Monte Carlo Simulation of Boron Diffusion in SiGe
... The Boron diffusion between the source/drain and the n-well channel of p-type metal-oxide semiconductor (pMOS) which has drawn considerable attention is an important topic because owing to the electrical characte- ...
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An emulator for kinetic Monte Carlo simulations of kinetically controlled metal electrodeposition
... and kinetic Monte Carlo (KMC), is frequently used to gain fundamental understanding of an enormous variety of physical process [1] that may be difficult or even impossible to visualise or study ...
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On the Fly Kinetic Monte Carlo Simulation of Atomic Diffusion in L10 Structure
... rations each other, we assign the unified number to the configuration according to the following manner: we scan the atomic species around the vacancy up to third nearest neighbor (42 atoms). Replacing atomic species A or ...
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What Do We Know About Technical Assistance? Enhancing the Science and Practice of Technical Assistance via a Research Synthesis
... Kinetic Monte Carlo is an algorithm used to simulate the evolution of a discrete network of objects that can interact with one another in any of a finite number of probabilistically set ...
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A δf Drift-Kinetic Simulation for Off-Diagonal Neoclassical Transport Coefficients in Quasi-Symmetric Toroidal Configurations
... drift-kinetic Monte Carlo simulations, off-diagonal neoclassical transport coefficients for quasi- symmetric toroidal plasmas can be calculated properly, ensuring the constancy of the geometric factor ...
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Appropriation of the ‘Witch’ Stigma as White Women's Self-Empowerment
... previous kinetic Monte Carlo algorithms, propagating an epitaxial system forward in time requires event selection and updating of data structures in each iteration of the ...
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Modeling and Simulation of Primary Damage and Structure Evolution in Ceramics and Metals
... atomic-level, kinetic Monte Carlo and meso-scale simulations, and these simulations have dramatically advanced the understanding of defect and defect processes in a number of materials, ranging from ...
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Evolving surface finite element methods for random advection diffusion equations
... The paper is organized as follows. We start by setting up some notation, the notion of hypersurfaces, function spaces, and material derivatives in order to de- rive a weak formulation of our problem according to [14]. ...
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A Monte Carlo localization method based on differential evolution optimization applied into economic forecasting in mobile wireless sensor networks
... Monte Carlo localization method was originally applied to the field of robot localization, and the distinction be- tween the robot localization and the sensor node’s positioning in mobile wireless sensor ...
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Statistical computation with kernels
... This is particularly challenging for Bayesian statistics since the posterior dis- tribution can become too computationally expensive to evaluate or simulate from exactly, and has lead researchers to develop a range of ...
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A measurement of the triple gauge boson couplings and W boson polarisation in W-pair production at LEP2
... 5.2. MONTE CARLO GENERATORS_____________________________ m of EXCALIBUR they are not ...production Monte Carlo th a t is used as the back ground generator for the qqqq ...
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The jackknife in Monte Carlo studies
... We think that jackknife standard errors should be routinely used in reporting Monte Carlo results. They are much easier to obtain than those from the standard delta method approach, especially when using ...
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Sequential Monte Carlo with transformations
... Much of the methodology for Bayesian computation is designed with the aim of approximating a posterior π. The most prominent approach is to use Markov chain Monte Carlo (MCMC), in which a Markov chain that ...
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Financial software as a service: A paradigm for risk modelling and analytics
... As discussed in the last paragraph, four major factors contributed to complexity that caused global downturn. An alternative to allow experts of different disciplines working together is to have a platform such as Cloud ...
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Modeling and control of epitaxial thin film growth
... Because the dimension of the master equation is extremely large for all but the simplest systems, we do not attempt to compute state matrices for physically re- alistic surfaces. Instead, we borrow the mathematical ...
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Exploring the Association between Network, Cognitive, Structural Social Capital and the Risk of Clinical Depression in Taiwan
... chain Monte Carlo algo- rithm is presented for posterior inference and a freely-available function frailtyGAFT is provided to fit the model in the R package ...
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