Quantification of Limit Cycle Oscillations in Nonlinear Aeroelastic Systems with Stochastic Parameters by C. C. Cui, J. K. Liu, Y. M. Chen

“…Based on this feature, the statistics and distribution functions of the LCO amplitude are obtained semianalytically, which are validated by Monte Carlo simulations. In addition, we discuss the possible influences of the nonlinear stiffness on flutter suppression of the airfoil subjected to Gaussian white noises. …”
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Molecular Simulation of Hydrogen Storage in Ion-Exchanged X Zeolites by Xiaoming Du

“…Grand Canonical Monte Carlo (GCMC) method was employed to simulate the adsorption properties of molecular hydrogen on ion-exchanged X zeolites at 100–293 K and pressures up to 10 MPa in this paper. …”
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Measuring Interest Rate Risk with Embedded Option Using HPL-MC Method in Fuzzy and Stochastic Environment by Enlin Tang, Wei Du

“…Under the premise that the fluctuation of interest rate follows fuzzy stochastic process, based on the option characteristics of financial instruments with embedded option, this paper takes effective duration and effective convexity as tools to measure interest rate risk when embedded options exist, tries to choose CIR extended model as term structure model, and uses the Monte Carlo method for hybrid low deviation sequences (HPL-MC) to analyze the prepayment characteristics of MBS, a representative financial instrument with embedded options, when interest rates fluctuate; on this basis, the effectiveness of effective duration management of interest rate risk is demonstrated with asset liability management cases of commercial banks.…”
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Finite size analysis for interacting bosons at the one-two dimensional crossover by Lorenzo Pizzino, Hepeng Yao, Thierry Giamarchi

“…In this work, we extend the analysis of interacting bosons at 2D-1D dimensional crossover for finite size and temperature by using the field theory approach (bosonization) and quantum Monte Carlo simulations. Stemming from the fact that finite size low-dimensional systems are allowed only to have quasiordered phase, we consider the self-consistent harmonic approximation to compute the fraction of quasicondensate and its scaling with the system size. …”
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On the Validity of the Dynamical Mean-Field Approximation for Studying the Two-Dimensional Hubbard Model on a Square Lattice by A. N. Ribeiro, C. A. Macedo

“…The dynamical mean-field approximation (DMFA) becomes exact in the limit of infinite dimensions, and allows results to be obtained in a nonperturbative regime without the limitations normally found with exact diagonalization (ED) and quantum Monte Carlo (QMC) methods. In this paper, we investigate the applicability of the method to lattices with small coordination number in special situations. …”
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Optical Design of a Solar Dish Concentrator Based on Triangular Membrane Facets by Hongcai Ma, Guang Jin, Xing Zhong, Kai Xu, Yanjie Li

“…For optimizing the number of facets rows and focal-diameter ratio of the concentrator, Monte Carlo ray-tracing method is utilized to determine optical performance of the concentrator, and the system root-mean-square (RMS) deviation is considered in this design procedure. …”
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Statistically Quantifying the Uncertainty in Strength of Marine Clay Stabilized by a Type of Portland-Fly Ash Cement by Zhi-Ren Zhu, Qiang-Qiang Cheng, Yang-Yang Chen, Elton J. Chen, Yuan Su

“…These two uncertainties were quantitatively described as two random variables, and the analyses were conducted through the Monte Carlo simulation method. Results indicate that the strength is insensitive to the cement fraction in the binder but is sensitive to the binder concentration; the variation of the latter even results in an amplified variation of strength. …”
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Influential Node Control Strategy for Opinion Evolution on Social Networks by Cheng Ju, Jinde Cao, Weiqi Zhang, Mengxin Ji

“…It is shown via using Monte Carlo simulations that our new model shows different invulnerability with traditional model. …”
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Hierarchical Bayesian Spatio-Temporal Modeling for PM10 Prediction by Esam Mahdi, Sana Alshamari, Maryam Khashabi, Alya Alkorbi

“…The disaggregating technique with a Markov chain Monte Carlo method with Gibbs sampler are used to handle the missing data. …”
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Field Results of a Navigation Architecture with Timing Constraints by Jorge Silva, Joao Sequeira, Cristina Santos

“…A localization system based on artificial landmarks is used to obtain location estimates that enable the robot to autonomously cover large distances. Monte Carlo tests assess the architecture under different real environment conditions including recovering from disturbing events such as landmark detection failures, robot kidnapping, unexpected collisions, and changes in the density of obstacles in the environment. …”
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Uncertainty quantification of CT regularized reconstruction within the Bayesian framework by Negin Khoeiniha, Patricio Guerrero, Wim Dewulf

“…This method significantly reduces computational and storage demands compared to classic Monte Carlo simulations while incorporating regularization techniques. …”
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Predicting the adsorption of -perfluorohexane in BAM-P109 standard activated carbon by molecular simulation using SAFT- Mie coarse-grained force fields by Carmelo Herdes, Esther Forte, George Jackson, Erich A Müller

“…The coarse-grained intermolecular potential models are then used to obtain the adsorption isotherm kernels for argon, carbon dioxide, and n -perfluorohexane in graphite slit pores of various widths using Grand Canonical Monte Carlo simulations. A unique and fluid-independent pore size distribution curve with total micropore volume of 0.5802 cm 3 /g is proposed for the BAM-P109. …”
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A new firing paradigm for integrate and fire stochastic neuronal models by Roberta Sirovich, Luisa Testa

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Statistical Inferences of Burr XII Lifetime Models under Joint Type-1 Competing Risks Samples by Tahani A. Abushal, A. A. Soliman, G. A. Abd-Elmougod

“…The numerical computations which described the quality of theoretical results are discussed in the forms of real data analyzed and Monte Carlo simulation study. Finally, numerical results are discussed and listed through some points as a brief comment.…”
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Numerical Analysis of Microcracks of Fly Ash/Slag Concrete with Cobble as Coarse Aggregate by Songfang Xie, Mingxing Gao, Hangtian Li

“…In order to improve mechanical properties of fly ash/slag concrete with large size cobble as coarse aggregate, this paper analyzes the effect of different factors on the concrete through the flexural strength test. The Monte Carlo simulation is used in the finite element solver of ANSYS to conduct the four-point bending beam test. …”
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Testing Data Cloning as the Basis of an Estimator for the Stochastic Volatility in Mean Model by E. Romero, E. Ropero-Moriones

“…Notably, the estimates it provides yield superior outcomes than those derived from the Markov chain Monte Carlo (MCMC) method in terms of standard errors, all while being unaffected by the selection of prior distributions.…”
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Statistical Investigation of Bearing Capacity of Pile Foundation Based on Bayesian Reliability Theory by Zuolong Luo, Fenghui Dong

“…In order to improve the estimation accuracy of bearing capacity of pile foundation, a new forecast method of bearing capacity of pile foundation was proposed on Jeffrey’s noninformative prior using the MCMC (Markov chain Monte Carlo) method of the Bayesian theory. The proposed approach was used to estimate the parameters of Normal distribution. …”
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Evolutionary game on mutually influenceing double-layer network. by Qinzhi Hao, Haochun Yang, Yao Sun, Tao Xu, Huang Huang

“…Strength individuals are located in the upper network layer, influencing the strategy choices of ordinary individuals in the lower layer, and vice versa. Monte Carlo simulations show that strength individuals can effectively enhance overall group cooperation. …”
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Plasma and BIAS Modeling: Self-Consistent Electrostatic Particle-in-Cell with Low-Density Argon Plasma for TiC by Jürgen Geiser, Sven Blankenburg

“…The collision model are based of Monte Carlo simulations is discussed for DC sputtering in lower pressure regimes. …”
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Modeling of the Near-Earth Low-Energy Antiproton Fluxes by U. B. Jayanthi, A. A. Gusev

“…Inclusive invariant cross-sections were obtained through a Monte Carlo procedure using the Multistage Dynamical Model code simulating various processes of the particle production. …”
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