scholarly journals Monte Carlo-Based Random Modeling Approach for the Description and Electromagnetic Analysis of Multilayer Structures

2021 ◽  
Author(s):  
Murat Koray AKKAYA ◽  
◽  
Asim Egemen YILMAZ ◽  
◽  
Keyword(s):  
Monte Carlo ◽  
Multilayer Structures ◽  
Electromagnetic Analysis ◽  
Modeling Approach

FreeCAD based Monte Carlo modeling approach for fusion reactor facilities

2020 ◽  
Vol 155 ◽  
pp. 111711
Author(s):  
Jin-Yang Li ◽  
Long Gu ◽  
Hu-Shan Xu ◽  
Yong Dai ◽  
You-Peng Zhang ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Fusion Reactor ◽  
Monte Carlo Modeling ◽  
Modeling Approach

INFLUENCE OF INITIAL STATES ON TWO-TIME DEPENDENCE OF MAGNETORESISANCE IN MULTILAYER STRUCTURES WITH DIFFERENT TYPES OF ANISOTROPY

2020 ◽  
Vol 25 (2) ◽  
pp. 24-33
Author(s):  
Marina Mamonova ◽  
Vladimir Prudnikov ◽  
Pavel Prudnikov ◽  
Anna Samoshilova
Keyword(s):  
Monte Carlo ◽  
Time Dependence ◽  
Monte Carlo Study ◽  
Multilayer Structures ◽  
Aging Effects ◽  
Slow Dynamics ◽  
Magnetic Structures ◽  
Different Types ◽  
Initial States ◽  
Non Equilibrium

The Monte Carlo study of initial states influence on non-equilibrium slow dynamics and two-time dependence of magnetoresistance in multilayer magnetic structures Co/Cu(100)/Co и Pt/Co/Cu(100)/Co/Pt with different types of anisotropy is presented. It was revealed nontrivial aging effects in the magnetoresistance and essential influence of initial states on the magnetoresistance.

Self-organization process in crystalline PbTe/CdTe multilayer structures: Experiment and Monte Carlo simulations

2018 ◽  
Vol 747 ◽  
pp. 809-814 ◽  
Author(s):  
Marcin Mińkowski ◽  
Magdalena A. Załuska–Kotur ◽  
Sławomir Kret ◽  
Sergij Chusnutdinow ◽  
Steffen Schreyeck ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Self Organization ◽  
Multilayer Structures ◽  
Organization Process

scholarly journals Estimation of temporal and spatial variations in groundwater recharge in unconfined sand aquifers using Scots pine inventories

2014 ◽  
Vol 11 (7) ◽  
pp. 7773-7826 ◽  
Author(s):  
P. Ala-aho ◽  
P. M. Rossi ◽  
B. Kløve
Keyword(s):  
Monte Carlo ◽  
Groundwater Recharge ◽  
Scots Pine ◽  
Temporal Distribution ◽  
Canopy Cover ◽  
Data Uncertainty ◽  
Management Scenarios ◽  
Area Index ◽  
Climate Conditions ◽  
Modeling Approach

Abstract. Climate change and land use are rapidly changing the amount and temporal distribution of recharge in northern aquifers. This paper presents a novel method for distributing Monte Carlo simulations of 1-D soil profile spatially to estimate transient recharge in an unconfined esker aquifer. The modeling approach uses data-based estimates for the most important parameters controlling the total amount (canopy cover) and timing (depth of the unsaturated zone) of groundwater recharge. Scots pine canopy was parameterized to leaf area index (LAI) using forestry inventory data. Uncertainty in the parameters controlling soil hydraulic properties and evapotranspiration was carried over from the Monte Carlo runs to the final recharge estimates. Different mechanisms for lake, soil, and snow evaporation and transpiration were used in the model set-up. Finally, the model output was validated with independent recharge estimates using the water table fluctuation method and baseflow estimation. The results indicated that LAI is important in controlling total recharge amount, and the modeling approach successfully reduced model uncertainty by allocating the LAI parameter spatially in the model. Soil evaporation compensated for transpiration for areas with low LAI values, which may be significant in optimal management of forestry and recharge. Different forest management scenarios tested with the model showed differences in annual recharge of up to 100 mm. The uncertainty in recharge estimates arising from the simulation parameters was lower than the interannual variation caused by climate conditions. It proved important to take unsaturated depth and vegetation cover into account when estimating spatially and temporally distributed recharge in sandy unconfined aquifers.

scholarly journals Sparse modeling approach to analytical continuation of imaginary-time quantum Monte Carlo data

2017 ◽  
Vol 95 (6) ◽  
Author(s):  
Junya Otsuki ◽  
Masayuki Ohzeki ◽  
Hiroshi Shinaoka ◽  
Kazuyoshi Yoshimi
Keyword(s):  
Monte Carlo ◽  
Quantum Monte Carlo ◽  
Analytical Continuation ◽  
Imaginary Time ◽  
Monte Carlo Data ◽  
Sparse Modeling ◽  
Modeling Approach ◽  
Time Quantum

Development of a Monte Carlo Modeling Approach to Determine the Enrichment of UF6 Typical Cylinders

2019 ◽  
Vol 205 (11) ◽  
pp. 1474-1479
Author(s):  
Sayed A. El-Mongy ◽  
Kh. A. Allam
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Modeling ◽  
Modeling Approach

Characterization of polychlorinated alkane mixtures—a Monte Carlo modeling approach

2007 ◽  
Vol 18 (6) ◽  
pp. 703-717 ◽  
Author(s):  
Soren R. Jensen ◽  
Wayne A. Brown ◽  
Ester Heath ◽  
David G. Cooper
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Modeling ◽  
Modeling Approach
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