Topic
Dynamic Monte Carlo method
About: Dynamic Monte Carlo method is a research topic. Over the lifetime, 13294 publications have been published within this topic receiving 371256 citations.
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TL;DR: The results of a Monte Carlo study of the random polygons determined by homogeneous and isotropic random limes in the plane (the standard passion line process) are presented.
Abstract: The results of a Monte Carlo study of the random polygons determined by homogeneous and isotropic random limes in the plane (the standard passion line process) are presented. The study involved the generation and mensuration by computer of nearly 200,000 polygons
108 citations
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108 citations
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TL;DR: Results show that Monte Carlo filtering with a behavior definition that is closely related to the sensitivity structure of the model will produce substantial reductions in model forecasting uncertainty.
Abstract: Complex models are often used to make predictions of environmental effects over a broad range of temporal and spatial scales. The data necessary to adequately estimate the parameters of these complex models are often not available. Monte Carlo filtering, the process of rejecting sets of mode! simulations that fail to meet prespecified criteria of model performance, is a useful procedure for objectively establishing parameter values and improving confidence in model predictions. This paper uses a foodweb model to examine the relationship between model sensitivities and Monte Carlo filtering. Results show that Monte Carlo filtering with a behavior definition that is closely related to the sensitivity structure of the model will produce substantial reductions in model forecasting uncertainty.
108 citations
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TL;DR: In this paper, the authors present results of resonant tunneling diode operation achieved from a particle-based quantum ensemble Monte Carlo simulation that is based on the Wigner distribution function (WDF).
Abstract: We present results of resonant tunneling diode operation achieved from a particle-based quantum ensemble Monte Carlo (EMC) simulation that is based on the Wigner distribution function (WDF). Methods of including the Wigner potential into the EMC, to incorporate natural quantum phenomena, via a particle property we call the affinity are discussed. Dissipation is included via normal Monte Carlo procedures and the solution is coupled to a Poisson solver to achieve fully selfconsistent results.
108 citations
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TL;DR: The reaction ensemble Monte Carlo method (RxMC) as discussed by the authors has been applied to predict the equilibrium behavior of chemically reacting systems in highly non-ideal environments, including solvation, nanoporous materials, catalyst design, combustion and propulsion science, shock physics and many more.
Abstract: Understanding and predicting the equilibrium behaviour of chemically reacting systems in highly non-ideal environments is critical to many fields of science and technology, including solvation, nanoporous materials, catalyst design, combustion and propulsion science, shock physics and many more. A method with recent success in predicting the equilibrium behaviour of reactions under non-ideal conditions is the reaction ensemble Monte Carlo method (RxMC). RxMC has been applied to reactions confined in porous solids or near solid surfaces, reactions at high temperature and/or high pressure, reactions in solution and at phase interfaces. The only required information is a description of the intermolecular forces among the system molecules and standard free-energy data for the reacting components. Extensions of the original method include its combination with algorithms for systems involving phase equilibria, constant-enthalpy and constant-internal energy adiabatic conditions, a method to include reaction kine...
108 citations