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  1. 6001

    Precursor sticking coefficient determination from indented deposits fabricated by electron beam induced deposition by Alexander Kuprava, Michael Huth

    Published 2025-01-01
    “…A fast simulation approach for focused electron beam induced deposition (FEBID) numerically solves the diffusion–reaction equation (continuum model) of the precursor surface on the growing nanostructure in conjunction with a Monte Carlo simulation for electron transport in the growing deposit. …”
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    Article
  2. 6002

    Probabilistic assessment of passive earth pressures considering spatial variability of soil parameters and design factors by Jim Shiau, Tan Nguyen, Thinh Pham-Tran-Hung, Jun Sugawara

    Published 2025-02-01
    “…However, modern computational advances, particularly Monte Carlo simulations (MCs), have highlighted the limitations of this approach. …”
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  3. 6003

    Performance Trades for Multiantenna GNSS Multisensor Attitude Determination Systems by Nathan A. Tehrani, Jason N. Gross

    Published 2018-01-01
    “…For the remaining attitude sensors, different performance grades of sensors are assessed. Through a Monte Carlo simulation, it is shown that, under typical conditions, sub-0.1-degree attitude accuracy is available when using multiple antenna GNSS data only, but that this accuracy can degrade to degree level in some environments warranting the inclusion of additional attitude sensors to maintain the desired level of accuracy. …”
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    Article
  4. 6004

    Fluence-to-dose conversion coefficients in a voxel rat model for external neutron irradiation by Xiaomin Zhang, Xu Xu, Yong Yuan, Jing Ning, Dawei Li, Yunlong Ji

    Published 2025-02-01
    “…Fluence-to-dose conversion coefficients based on a developed rat model have been calculated for neutrons with energies <20 MeV using Monte Carlo N-particle code (MCNP), for the purpose of neutron radiation effect evaluation. …”
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    Article
  5. 6005

    Study on the Stability of the Coal Seam Floor above a Confined Aquifer Using the Structural System Reliability Method by Haifeng Lu, Xiuyu Liang, Nan Shan, You-Kuan Zhang

    Published 2018-01-01
    “…The failure modes were regarded as the series system. The Monte Carlo method was employed to calculate the reliability probability of each failure mode and series system. …”
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    Article
  6. 6006

    Application of Probabilistic and Nonprobabilistic Hybrid Reliability Analysis Based on Dynamic Substructural Extremum Response Surface Decoupling Method for a Blisk of the Aeroengi... by Bin Bai, Wei Zhang, Botong Li, Chao Li, Guangchen Bai

    Published 2017-01-01
    “…Tuned and mistuned blisks are studied in a complicated environment, and the results are compared with the Monte Carlo method (MCM) and the multilevel nested algorithm (MLNA) to verify that the hybrid model can better handle reliability problems concurrently containing random variables and interval variables; meanwhile, it manifests that the computational efficiency of this method is superior and more reasonable for analysing and designing a mistuned blisk. …”
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    Article
  7. 6007

    Performance Evaluation of Car Cargo Scanner Systems for Determining Linear Attenuation Coefficients of Aluminum Metal Sheets: Modeling by Amir Mohammad Beigzadeh, Mojtaba Askari

    Published 2024-12-01
    “…For this purpose, radiographic images of aluminum sheets with different thicknesses were first extracted using modeling. Mcnpx monte Carlo code was used to model the system. The obtained images were processed using the algorithm written with MATLAB. …”
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  8. 6008

    Reliability Estimation of Parameters of Helical Wind Turbine with Vertical Axis by Adela-Eliza Dumitrascu, Badea Lepadatescu, Dorin-Ion Dumitrascu, Anisor Nedelcu, Doina Valentina Ciobanu

    Published 2015-01-01
    “…To estimate the produced energy by the wind turbine, an evaluation approach based on the Monte Carlo simulation model is developed which enables us to estimate the probability of minimum and maximum parameters. …”
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    Article
  9. 6009

    Nonlinear Programming to Determine Best Weighted Coefficient of Balanced LINEX Loss Function Based on Lower Record Values by Fuad S. Al-Duais, Mohammed Alhagyan

    Published 2021-01-01
    “…Comparisons are made between Bayesian estimators (SE, BSE, LINEX, and BLINEX) and maximum likelihood estimator via Monte Carlo simulation. The evaluation was done based on absolute bias and mean square errors. …”
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    Article
  10. 6010

    Study on generation of turbulence-distorted received signals in OAM optical communications obeying dual Johnson S<sub>B</sub>distribution by Chunyi CHEN, Qinqin XIONG, Haiyang YU, Haifeng YAO, Jiaxue SONG, Yan LOU

    Published 2020-11-01
    “…In order to analyze the performance of atmospheric OAM optical communication systems by Monte Carlo method,a method was proposed to simulate turbulence-distorted received signals in OAM optical communications,which possessed the given temporal auto-correlation and obeyed the dual Johnson S&lt;sub&gt;B&lt;/sub&gt;distribution.A Gaussian random sequence with given temporal auto-correlation was first created by using an auto regression (AR) model,and meanwhile a white noise random sample sequence obeying the dual Johnson S&lt;sub&gt;B&lt;/sub&gt;distribution was generated.Then the white noise random sample sequence was rearranged according to the statistical rank of the auto-correlated Gaussian random sequence to match the given temporal auto-correlation.By performing the simulation experiments,it was found that the statistical distribution of the simulated signals was in excellent agreement with the dual Johnson S&lt;sub&gt;B&lt;/sub&gt;distribution,and the temporal auto-correlation of the signals matched the given temporal auto-correlation function.The results demonstrate that the proposed method can be used to simulate time-domain received signals in OAM optical communications impaired by turbulence-induced distortions.…”
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  11. 6011

    A New Approach in Regression Analysis for Modeling Adsorption Isotherms by Dana D. Marković, Branislava M. Lekić, Vladana N. Rajaković-Ognjanović, Antonije E. Onjia, Ljubinka V. Rajaković

    Published 2014-01-01
    “…Experimentally, it cannot be done in a reasonable time, so the Monte Carlo simulation method was applied. The objective of this paper is to introduce and compare numerical approaches that involve different levels of knowledge about the noise structure of the analytical method used for initial and equilibrium concentration determination. …”
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  12. 6012

    Microstructural evolution of FeCoNiCrMn high-entropy alloy subjected to laser shock peening: Molecular dynamics simulation study by Weizhou Xu, Yongxiang Geng, Haizhong Zheng, Yixin Xiao

    Published 2025-04-01
    “…Molecular dynamics (MD) and Monte Carlo (MC) simulations are used to study the microstructural evolution of FeCoNiCrMn high-entropy alloys (HEA) after laser shock peening (LSP). …”
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  13. 6013

    Modeling and security analysis of hardware trojan attack based on GSCPN by MEI Bo, GUO Wei, CAO Zhipeng, LI Peijie, ZHANG Wenbo

    Published 2024-08-01
    “…The analytical solution of the Markov chain isomorphous to the GSCPN model was derived, alongside the simulation solution achieved using the Monte Carlo simulation method. The discrepancy between the two methods was a mere 0.00183, which verified the precision of the modeling approach. …”
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  14. 6014

    Reliability Assessment of Steel-Concrete Composite Beams considering Metal Corrosion Effects by Trong-Ha Nguyen, Duy-Duan Nguyen

    Published 2020-01-01
    “…The effects of the random input variables on the reliability of structures are evaluated by sensitivity analyses, which are calculated by the global sensitivity analysis using Sobol’s method and Monte Carlo simulation. The developed reliability analysis algorithm in this study is verified with previous studies, highlighting the capability of the used method. …”
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  15. 6015

    Recycled integrated circuit detection using reliability analysis and machine learning algorithms by Udaya Shankar Santhana Krishnan, Kalpana Palanisamy

    Published 2021-01-01
    “…The reliability and Monte Carlo simulation are performed on benchmark circuits such as c17, s27, b02 and fully differential folded‐cascode amplifier using the Cadence Virtuoso tool, and the parameters such as minimum voltage, delay value, supply current, gain, phase margin and bandwidth are measured. …”
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  16. 6016

    Bifurcation Analysis with Aerodynamic-Structure Uncertainties by the Nonintrusive PCE Method by Linpeng Wang, Yuting Dai, Chao Yang

    Published 2017-01-01
    “…Bifurcation diagrams with uncertainties were quantified. The Monte Carlo simulation (MCS) is also applied for comparison. …”
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    Article
  17. 6017

    Co-Doping Effects in CdWO4 Scintillator Thin Films as Alpha Counters: Ag and Gd Cases by Nooshin Heydarian Dehkordi, Morteza Raeisi, Sanaz Alamdari

    Published 2024-06-01
    “…The precision of the Monte Carlo technique for the computation of alpha particle trajectories in CWO-20wt. % PES and co-doped CWO-20wt. % PES thin films were 55 and 53 µm, respectively, which approximately agreed with FE-SEM images. …”
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  18. 6018

    A New Formulation on Seismic Risk Assessment for Reinforced Concrete Structures with Both Random and Bounded Uncertainties by Xiao-Xiao Liu, Yuan-Sheng Wang

    Published 2018-01-01
    “…Based on ALK model, the failure probabilities for different limit states are calculated by using Monte Carlo Simulation (MCS). Further, the failure probabilities for different limit states in 50 years can be obtained through coupling the seismic failure probability with the ground motion hazard curve. …”
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  19. 6019

    Effects of Re on Vacancy Mobility in a Ni-Re System: An Atomistic Study by Nuttapong La-ongtup, Suttipong Wannapaiboon, Piyanut Pinyou, Worawat Wattanathana, Yuranan Hanlumyuang

    Published 2021-01-01
    “…On-the-fly kinetic Monte Carlo is combined with an efficient energy-valley search to find energies of saddle points, based on energetics from the embedded atom method. …”
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  20. 6020

    Sensitivity Analysis and Identification of Parameters to the Van Genuchten Equation by Guangzhou Chen, Lifeng Jiao, Xinhai Li

    Published 2016-01-01
    “…Selecting the desorption and absorption experimental data of silt loam from a northwest region in China as an instance, Monte-Carlo method was firstly applied to analyze sensitivity of the parameters and uncertainty of model so as to get the key parameters and posteriori parameter distribution to guide subsequent parameter identification. …”
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    Article