Modelling radiation-induced phase changes in binary FeCu and ternary FeCuNi alloys using an artificial intelligence-based atomistic kinetic Monte Carlo approach

2009 ◽  
Vol 267 (18) ◽  
pp. 3002-3008 ◽  
Author(s):  
N. Castin ◽  
L. Malerba ◽  
G. Bonny ◽  
M.I. Pascuet ◽  
M. Hou
Keyword(s):  
Artificial Intelligence ◽  
Monte Carlo ◽  
Kinetic Monte Carlo ◽  
Phase Changes ◽  
Monte Carlo Approach ◽  
Radiation Induced

Modeling Investigation of the Local Electrochemistry in Lithium-O2Batteries: A Kinetic Monte Carlo Approach

2015 ◽  
Vol 163 (3) ◽  
pp. A329-A337 ◽  
Author(s):  
Guillaume Blanquer ◽  
Yinghui Yin ◽  
Matias A. Quiroga ◽  
Alejandro A. Franco
Keyword(s):  
Monte Carlo ◽  
Kinetic Monte Carlo ◽  
Monte Carlo Approach

Improvement of nanowire distributions with a STM tip: a kinetic Monte Carlo approach

2003 ◽  
Vol 532-535 ◽  
pp. 531-535
Author(s):  
S. Baud ◽  
F. Picaud ◽  
C. Ramseyer
Keyword(s):  
Monte Carlo ◽  
Kinetic Monte Carlo ◽  
Monte Carlo Approach

scholarly journals Radiation-induced segregation in W-Re: from kinetic Monte Carlo simulations to atom probe tomography experiments

2019 ◽  
Vol 92 (10) ◽  
Author(s):  
Matthew J. Lloyd ◽  
Robert G. Abernethy ◽  
David E. J. Armstrong ◽  
Paul A. J. Bagot ◽  
Michael P. Moody ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Atom Probe Tomography ◽  
Ion Irradiation ◽  
Kinetic Monte Carlo ◽  
Cluster Formation ◽  
Monte Carlo Model ◽  
Atom Probe ◽  
Solubility Limit ◽  
Radiation Induced ◽  
Kinetic Monte Carlo Simulations

Abstract A viable fusion power station is reliant on the development of plasma facing materials that can withstand the combined effects of high temperature operation and high neutron doses. In this study we focus on W, the most promising candidate material. Re is the primary transmutation product and has been shown to induce embrittlement through cluster formation and precipitation below its predicted solubility limit in W. We investigate the mechanism behind this using a kinetic Monte Carlo model, implemented into Stochastic Parallel PARticle Kinetic Simulator (SPPARKS) code and parameterised with a pairwise energy model for both interstitial and vacancy type defects. By introducing point defect sinks into our simulation cell, we observe the formation of Re rich clusters which have a concentration similar to that observed in ion irradiation experiments. We also compliment our computational work with atom probe tomography (APT) of ion implanted, model W-Re alloys. The segregation of Re to grain boundaries is observed in both our APT and KMC simulations. Graphical abstract

Kinetic Monte Carlo approach to modeling thermal decay in perpendicular recording media

2013 ◽  
Vol 87 (6) ◽  
Author(s):  
T. J. Fal ◽  
J. I. Mercer ◽  
M. D. Leblanc ◽  
J. P. Whitehead ◽  
M. L. Plumer ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Kinetic Monte Carlo ◽  
Recording Media ◽  
Thermal Decay ◽  
Perpendicular Recording ◽  
Monte Carlo Approach

scholarly journals Kinetic Monte Carlo simulation of random deposition and scaling behavior with respect to the germination length

2020 ◽  
Vol 09 (04) ◽  
pp. 2050022
Author(s):  
Abdenour Saoudi ◽  
Linda Aissani ◽  
Grégoire Sorba ◽  
Francisco Chinesta
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Kinetic Monte Carlo ◽  
System Size ◽  
Scaling Behavior ◽  
Kinetic Monte Carlo Simulation ◽  
Monte Carlo Approach

This work aims at analyzing the scaling behavior and develop correlations during surface growing for different germination lengths. The surface growing by random deposition is simulated using a kinetic Monte Carlo approach, by considering different germination lengths. Different surface descriptors are extracted, among them the roughness and the correlation. The former allows extracting the scaling behavior, while the latter proves the existence of correlations independent of the system size but dependent on the germination length. Moreover, as in the case of random deposition with a null germination length, the growing roughness never saturates.

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