Monte carlo simulation of heterotypic cell aggregation in nonlinear shear flow by Jiakou Wang, Margaret J. Slattery, Meghan Henty Hoskins, Shile Liang, Cheng Dong, Qiang Du

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Sampling electronic fock states using determinant quantum Monte Carlo by Shuhan Ding, Shaozhi Li, Yao Wang

“…In this work, we modify the determinant quantum Monte Carlo by integrating a Fock-state update mechanism alongside the auxiliary field. …”
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Monte Carlo Simulation of the Adsorption of Binary Gas Mixtures on Heterogeneous Surfaces by F. Bulnes, A.J. Ramirez-Pastor, G. Zgrablich

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Reliability Assessment of Active Distribution System Using Monte Carlo Simulation Method by Shaoyun Ge, Li Xu, Hong Liu, Mingxin Zhao

“…In this paper we have treated the reliability assessment problem of low and high DG penetration level of active distribution system using the Monte Carlo simulation method. The problem is formulated as a two-case program, the program of low penetration simulation and the program of high penetration simulation. …”
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Workspace Analysis of Hydraulic Follow-up Arm based on Monte Carlo Method by Pengyun Feng, Liangbin Zhan, Yanping Xiao, Tiancheng Huang

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Stochastic Representation and Monte Carlo Simulation for Multiterm Time-Fractional Diffusion Equation by Longjin Lv, Luna Wang

“…Finally, a stochastic simulation algorithm was developed for the visualization of sample path of the abnormal diffusion process. The Monte Carlo method was also employed to show the behavior of the solution of this fractional equation.…”
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Research on Contact Stiffness of Cycloid-pin Gear based on Monte Carlo Method by Suxun He, Yibin He, Yuchen Chen, Qiaosen Dai, Xiang Liu

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Efficient Monte Carlo simulation of streamer discharges with deep-learning denoising models by F M Bayo-Muñoz, A Malagón-Romero, A Luque

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Kinetic-Monte-Carlo-Based Parallel Evolution Simulation Algorithm of Dust Particles by Xiaomei Hu, Zhifeng Xu, Hongxia Cai, Junjun Hu

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Analysis of Melanin Concentration on Reflective Pulse Oximetry Using Monte Carlo Simulations by Maximilian Reiser, Oliver Amft, Andreas Breidenassel

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4G network perception planning method based on Monte-Carlo simulation by Xiaoguang HUANG, Junhua DONG, Feng WANG, Wei WANG

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Status of GPU capabilities within the Shift Monte Carlo radiation transport code* by Biondo Elliott, Davidson Gregory, Evans Thomas, Hamilton Steven, Johnson Seth, Pandya Tara, Royston Katherine, Salcedo-Pérez José

“…Shift is a general-purpose Monte Carlo (MC) radiation transport code for fission, fusion, and national security applications. …”
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An open Monte Carlo based implementation of Gauss's method for initial orbit determination by José B. Batista-Mendoza, Eduardo Chung, Adam’s Martínez-Soto, Joaquín Fábrega-Polleri, Carlos A. Fernández-Valdés

“…Furthermore, we found that for the Monte Carlo simulations that the code uses, 5,000 iterations were more than enough to achieve the obtained accuracy.   …”
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MCNP-X Monte Carlo Code Application for Mass Attenuation Coefficients of Concrete at Different Energies by Modeling 3 × 3 Inch NaI(Tl) Detector and Comparison with XCOM and Monte Carlo Data by Huseyin Ozan Tekin

“…Apart from experimental studies, the Monte Carlo (MC) method has become one of the most popular tools in detector studies. …”
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Monte–Carlo Techniques Applied to CGH Generation Processes and Their Impact on the Image Quality Obtained by Juan A. Magallón, Alfonso Blesa, Francisco J. Serón

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A Comprehensive Monte Carlo Simulation Study on Multiple Comparison Methods after ANOVA by Hanife Avcı, Osman Dağ

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Workspace Analysis of Auxiliary Slag Cleaning Device of TBM based on Monte Carlo Method by Jia Liangfei, Ma Chaofeng, Liu Kai

“…Aiming at the current rock burst problems encountered in hard rock excavation construction，a set of six-degree-of-freedom automatic excavation equipment which can replace the current artificial slag and can work well in a narrow working space is designed.The specific design is on the basis of the traditional excavating machine，two telescopic arm structures and a swing arm structure are added，and each rod length and each joint variable are set by kinematically modeling the mechanical arm.The design overcomes the problem of the small amount of operable space and the protection of the supporting I-beam for the pre-supported tunnel，and expands the working space of the conventional excavation equipment in a narrow space.The overall structure of the excavation equipment and the kinematics modeling process are expounded.By using the characteristics of Monte Carlo method in random number application，the workspace of this device is simulated.At the same time，the joint parameters are reversed and verified.The results are in line with the expected joint operating range.The slag cleaning device can improve the working efficiency of cleaning the gravel caused by rock burst，and can reduce the construction cost of the hard rock tunneling.…”
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Investigating uncertainty and parameter sensitivity in bedform analysis by using a Monte Carlo approach by J. Reich, A. Winterscheid

“…We therefore developed a workflow to quantify this influence by performing a Monte Carlo simulation. By repeating the calculations many times with varying input parameter settings, the possible range of results is revealed, and thus the procedure-specific uncertainties can be quantified. …”
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Tolerance Grouping Matching Backlash Analysis of Precision Reducer based on Monte Carlo Simulation by Qiliang Wang, Xinwen Chen, Xiaofen Ye

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Deep Neural Learning Adaptive Sequential Monte Carlo for Automatic Image and Speech Recognition by Patcharin Kamsing, Peerapong Torteeka, Wuttichai Boonpook, Chunxiang Cao

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