Showing 41 - 60 results of 1,062 for search '"Monte Carlo"', query time: 0.08s Refine Results
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    A Fast and Efficient Markov Chain Monte Carlo Method for Market Microstructure Model by Sun Yapeng, Peng Hui, Xie Wenbiao

    Published 2021-01-01
    “…A fast and efficient Markov Chain Monte Carlo (MCMC) approach based on an efficient simulation smoother algorithm and an acceptance-rejection Metropolis–Hastings algorithm is designed to estimate the non-linear MM model. …”
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    Monte Carlo Simulation of Linear Polymer Thermal Depolymerization under Isothermal and Dynamic Modes by Elena V. Bystritskaya, Oleg N. Karpukhin, Alla V. Kutsenova

    Published 2011-01-01
    “…Kinetics of linear polymer thermal depolymerization under isothermal and dynamic TGA modes was simulated by the Monte Carlo method. The simulation was carried out on model arrays having the same initial degree of polymerization 𝑃𝑛=100 and different width (polydispersity index, PDI=𝑃𝑤/𝑃𝑛=1∼3) at three constant temperatures and five heating rates. …”
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  4. 44

    Textural Characteristics and Energetic Parameters of Activated Carbon Monoliths: Experiments and Monte Carlo Simulations by Diana P. Vargas, J.C. Alexandre de Oliveira, Liliana Giraldo, Juan Carlos Moreno-Piraján, R.H. López, G. Zgrablich

    Published 2011-07-01
    “…BET areas between 752 and 1711 m 2 /g, micropore volumes between 0.32 and 0.61 cm 3 /g, ultramicropore volumes between 0.11 and 0.24 cm 3 /g and immersion enthalpy values between 95.85 and 147.7 J/g. Grand Canonical Monte Carlo (GCMC) simulations were used to analyze the experimental results, providing an interpretation of, as well as a more detailed characterization, of the textural properties, such as the determination of the pore-size distribution (PSD) of each material.…”
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    Characterization of Meteorological Drought Using Monte Carlo Feature Selection and Steady-State Probabilities by Rizwan Niaz, Fahad Tanveer, Mohammed M. A. Almazah, Ijaz Hussain, Soliman Alkhatib, A.Y. Al-Razami

    Published 2022-01-01
    “…Further, the RCAMD employs Monte Carlo feature selection (MCFS) and steady-state probabilities (SSPs) to comprehensively collect information from various stations and drought indices. …”
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    Monte Carlo Simulation of Static and Dynamic Properties of Linear Polymer in a Crowded Environment by Deme Tesfaye Umeta, Solomon Negash Asfaw, Solomon Hailemariam Didu, Chimdessa Gashu Feyisa, Dereje Kenea Feyisa

    Published 2022-01-01
    “…In this paper, we investigate the static and dynamic properties of linear polymer in the presence of obstacles. A Monte Carlo (MC) simulation method in two dimensions with a bond fluctuation model (BFM) was used to achieve this goal. …”
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  9. 49

    Rarefied Nozzle Flow Computation Using the Viscosity-Based Direct Simulation Monte Carlo Method by Deepa Raj Mopuru, Nishanth Dongari, Srihari Payyavula

    Published 2024-12-01
    “…The Direct Simulation Monte Carlo (DSMC) method, developed by Bird, is widely used for modeling rarefied flows; however, it has been primarily implemented on platforms like OpenFOAM and FORTRAN, with limited exploration in MATLAB. …”
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    Monte Carlo Simulation to Evaluate Mould Growth in Walls: The Effect of Insulation, Orientation, and Finishing Coating by Ricardo M. S. F. Almeida, Eva Barreira

    Published 2018-01-01
    “…The influence of indoor climate was evaluated by simulating 200 scenarios previously generated using the Monte Carlo method. Each of the scenarios has been applied to the 12 case studies, and 2400 hygrothermal simulations were carried out. …”
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  12. 52

    Predicting and Visualizing the Uncertainty Propagations in Traffic Assignments Model Using Monte Carlo Simulation Method by Mundher Seger, Lajos Kisgyörgy

    Published 2018-01-01
    “…This methodology was built using Monte Carlo simulation method to quantify uncertainty in traffic flows on a transport network. …”
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    Unbiasing fermionic auxiliary-field quantum Monte Carlo with matrix product state trial wavefunctions by Tong Jiang, Bryan O'Gorman, Ankit Mahajan, Joonho Lee

    Published 2025-01-01
    “…In this work, we report, for the first time, an implementation of fermionic auxiliary-field quantum Monte Carlo (AFQMC) using matrix product state (MPS) trial wavefunctions, dubbed MPS-AFQMC. …”
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