Adsorption of CO/CH Mixtures in a Molecular Model of Activated Carbon through Monte Carlo Simulations by Alberto G. Albesa, Matías Rafti, José L. Vicente, Hernán Sánchez, Pablo Húmpola

“…The adsorption isotherms of pure CO 2 , CH 4 and equimolar mixtures, and isosteric heat calculations on these models substrates were obtained by Monte Carlo simulations. The results were analyzed in the framework of dual process Langmuir model (DPL) and on the basis of ideal adsorption solution theory. …”
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Qualitative Simulation of Photon Transport in Free Space Based on Monte Carlo Method and Its Parallel Implementation by Xueli Chen, Xinbo Gao, Xiaochao Qu, Duofang Chen, Bin Ma, Lin Wang, Kuan Peng, Jimin Liang, Jie Tian

“…During the past decade, Monte Carlo method has obtained wide applications in optical imaging to simulate photon transport process inside tissues. …”
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Development and Application of MCNP5 and KENO-VI Monte Carlo Models for the Atucha-2 PHWR Analysis by M. Pecchia, C. Parisi, F. D'Auria, O. Mazzantini

“…The geometrical complexity and the peculiarities of Atucha-2 PHWR require the adoption of advanced Monte Carlo codes for performing realistic neutronic simulations. …”
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A Copula-Based and Monte Carlo Sampling Approach for Structural Dynamics Model Updating with Interval Uncertainty by Xueqian Chen, Zhanpeng Shen, Xin’en Liu

“…Firstly, the mathematical relationship between the updating parameters and the output interesting qualities is created based on the copula approach and the vast samples of inputs and outputs are obtained by the Monte Carlo (MC) sampling technology according to the copula model. …”
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The Effects of Single and Bimetallic Silicon Composite Shields in Medical Imaging Methods: A Monte Carlo Study by Abbas Ali Nazeri, Reza Malekzadeh, Parinaz Mehnati, Soheila Refahi

“…Materials and Methods: Three metal oxides, including Bismuth oxide (Bi2O3), Tungsten oxide (WO3), and Tin oxide (SnO2) were used as mono-metal and bimetallic compound silicon matrixes for clarification of their practical use. Monte Carlo simulation methods were used to enter the specifications of each metal in combination with silicon. …”
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A Simulation Study on the Swelling and Shrinking Behaviors of Nanosized Montmorillonite Based on Monte Carlo and Molecular Dynamics by Kaiwen Tong, Jianhua Guo, Shanxiong Chen, Fei Yu, Shichang Li, Zhangjun Dai

“…In order to illustrate the nanoscale mechanism from the molecular level, a combination of Monte Carlo and molecular dynamics was used to explore the swelling and shrinking characteristics of montmorillonite. …”
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Uncertainty Propagation Analysis for PWR Burnup Pin-Cell Benchmark by Monte Carlo Code McCARD by Ho Jin Park, Hyung Jin Shim, Chang Hyo Kim

“…In the Monte Carlo (MC) burnup analyses, the uncertainty of a tally estimate at a burnup step may be induced from four sources: the statistical uncertainty caused by a finite number of simulations, the nuclear covariance data, uncertainties of number densities, and cross-correlations between the nuclear data and the number densities. …”
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Variational Quantum Monte Carlo Solution of the Many-Electron Schrödinger Equation Based on Deep Neural Networks by Huiping Su, Hongbo Gao, Xinmiao Wang, Xi He, Da Shen

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Applying Simultaneously Monte Carlo Method and Dimension Reduction in Calculating the Reliability of Water Column Separation Phenomenon by Mehdi Azhdary Moghaddam, Sakineh Safari, Abdul Hamid BahrPeyma, Mohammad GivehChi

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Support vector machine based fast Monte Carlo reliability evaluation method for composite power system by Yuxiao LEI, Gengfeng LI, Yuxiong HUANG, Zhaohong BIE

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Distributed Cooperative Driving Strategy for Connected Automated Vehicles at Unsignalized Intersections Based on Monte Carlo Method by Haoming Li, Wei Dong, Linjun Lu, Ying Wang, Xianing Wang

“…Proposed here is a new cooperative driving strategy for CAVs at unsignalized intersections based on distributed Monte Carlo tree search (MCTS). A task-area partition framework is also proposed to decompose the mission of cooperative driving into three main tasks: vehicle information sharing, passing order optimization, and trajectory control. …”
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Development of a GPU-enhanced time-dependent Monte Carlo neutron transport version of McCARD by Ko Woo Kyoung, Jeong Seong Jeong, Kim Young In, Shim Hyung Jin

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A Monte-Carlo planning strategy for medical follow-up optimization: Illustration on multiple myeloma data. by Benoîte de Saporta, Aymar Thierry d'Argenlieu, Régis Sabbadin, Alice Cleynen

“…Instead of discretizing the problem with a discrete Markov Decision Process, we apply the Partially-Observed Monte-Carlo Planning algorithm to solve the continuous-time, continuous-state problem, leveraging the near-deterministic nature of cancer progression. …”
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Dose uniformity evaluations for gamma radiation processing facility using Monte Carlo simulations and its validation by Raksha Rajput, Jyoti Garg, Jain Reji George, Kalpana Khedkar, P. K. Jothish, N. Jayachandran, Pradip Mukherjee

“…The theoretical dose evaluations in the product are carried out using Monte Carlo simulations in this work. This is required for optimizing the source loading configuration with the best combination of averaged dose rate and dose uniformity ratio (DUR) to maximize the efficiency of the facility. …”
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Simulasi Monte Carlo Dalam Meprediksikan Tingkat Lonjakan Pendaftaran Vaksin Booster Pada Puskesmas Martubung by Efani Desi, Siti Aliyah, Cindy Paramitha Lubis, Mas Ayoe Elhias Nst, Fithry Tahel

“…Maka dapat disimpulkan bahwa penggunaan simulasi Monte Carlo dalam penelitian ini adalah sebagai sebuah metode yang bisa menyajikan sebuah informasi tentang seberapa banyak bilangan acak yang dihasilkan melalui beberapa rangkaian percobaan yang dilakukan. …”
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Optimizing the Nuclear Concentration Measuring System of the Cutter Suction Dredger Using MCNPX Monte Carlo Code by Mojtaba Askari, Mohsen Sharifzadeh, Ali Taheri

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Correlation effects in magic-angle twisted bilayer graphene: An auxiliary-field quantum Monte Carlo study by Zhi-Yu Xiao, Shiwei Zhang

“…We employ a state-of-the-art auxiliary-field quantum Monte Carlo (AFQMC) method to study the IBM model, which constrains the sign problem to enable accurate treatment of large system sizes. …”
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Double Sampling with Ranked Set Selection in the Second Phase with Nonresponse: Analytical Results and Monte Carlo Experiences by Gaajendra K. Agarwal, Sira M. Allende, Carlos N. Bouza

“…The structure of the errors generated the need of studying of the optimality of the strategies by performing a set Monte Carlo experiments.…”
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A method for calculating the coverage area of radar network based on Monte Carlo method and its simulation by WANG Yinlong, WANG Dan, MA Juntao, ZHAO Deyong

Subjects: “…radar networking|coverage area|monte carlo method|joint probability…”
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Grand Canonical Monte Carlo simulations of the Hydrogen and Methane storage capacities of a novel Co-MOF by A. Granja-DelRío, I. Cabria

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