Search results for "Monte Carlo Simulation"

showing 10 items of 104 documents

Simulations on time-of-flight ERDA spectrometer performance

2016

The performance of a time-of-flight spectrometer consisting of two timing detectors and an ionization chamber energy detector has been studied using Monte Carlo simulations for the recoil creation and ion transport in the sample and detectors. The ionization chamber pulses have been calculated using Shockley-Ramo theorem and the pulse processing of a digitizing data acquisition setup has been modeled. Complete time-of-flight–energy histograms were simulated under realistic experimental conditions. The simulations were used to study instrumentation related effects in coincidence timing and position sensitivity, such as background in time-of-flight–energy histograms. Corresponding measurement…

010302 applied physicsPhysicsta114SpectrometerPhysics::Instrumentation and Detectorsbusiness.industryInstrumentationMonte Carlo methodDetector7. Clean energy01 natural sciencesMonte Carlo simulationsNuclear physicsTime of flightRecoilOpticsData acquisitiontime-of-flight spectrometers0103 physical sciencesIonization chambersimulations010306 general physicsbusinessInstrumentationReview of Scientific Instruments
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Supporting group decision makers to locate temporary relief distribution centres after sudden-onset disasters

2020

International audience; In the humanitarian response, multiple decision-makers (DMs) need to collaborate in various problems, such as locating temporary relief distribution centres (RDCs). Several studies have argued that maximising demand coverage, reducing logistics costs and minimising response time are among the critical objectives when locating RDCs after a sudden-onset disaster. However, these objectives are often conflicting and the trade-offs can considerably complicate the situation for finding a consensus.To address the challenge and support the DMs, we suggest investigating the stability of non-dominated alternatives derived from a multi-objective model based on Monte Carlo Simul…

010504 meteorology & atmospheric sciencesComputer sciencemedicine.medical_treatment0211 other engineering and technologiesStability (learning theory)Distribution (economics)02 engineering and technology01 natural sciencesHumanitarian responseNATURAL DISASTERSupport groupINFORMATION-MANAGEMENT[SPI]Engineering Sciences [physics]NETWORK DESIGNGroup decision-making2015 Nepal earthquakemedicineOPTIMIZATIONVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Monte Carlo simulation0105 earth and related environmental sciences021110 strategic defence & security studiesCOORDINATIONCOMPLEXDISTRIBUTION MODELbusiness.industrySTOCHASTIC-MODELHumanitarian responseGeologyGeotechnical Engineering and Engineering GeologyRisk analysis (engineering)Multiobjective facility locationPARETO SETbusinessSafety ResearchHUMANITARIAN LOGISTICSSudden onsetInternational Journal of Disaster Risk Reduction
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Reducing waste and ecological impacts through a sustainable and efficient management of perishable food based on the Monte Carlo simulation

2019

Abstract In today’s competitive global market it is mandatory to improve warehousing operations integrating economic, environmental and social aspects. The recent advancement in monitoring technologies can greatly improve the performance of the food supply chain reducing product loss. In particular, in the perishable food supply chain, initially inventory operations are critical because they manage the material flows in very variable conditions. The deterioration level of the products as well as the market demand are the main factors that can influence warehouse strategy. This research aims to consider the application of sustainability principles in the context of warehouse storage, evaluat…

0106 biological sciencesTraceabilityComputer scienceSupply chainGeneral Decision SciencesContext (language use)010501 environmental sciences010603 evolutionary biology01 natural sciencesWarehouse managementSupply and demandSettore ING-IND/17 - Impianti Industriali MeccaniciMonte Carlo simulationEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEcologyEcological impacts Food waste reduction Monte Carlo simulation Shelf life model Sustainability Warehouse managementEnvironmental economicsEcological impactWarehouseProduct (business)SustainabilitySustainabilityShelf life modelCarbon footprintEcological impacts; Food waste reduction; Monte Carlo simulation; Shelf life model; Sustainability; Warehouse managementFood waste reductionEcological Indicators
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Liquid Crystal Phases in Suspensions of Charged Plate-Like Particles

2012

International audience; Anisotropic interactions in colloidal suspensions have recently emerged as a route for the design of new soft materials. Nonisotropic particles can form nematic, smectic, hexatic, and columnar liquid crystals. Although the formation of these phases is well rationalized when excluded volume is solely at play, the role of electrostatic interactions still remains unclear and even less so when particles present a charge heterogeneity, for example, clays. Here, we use Monte Carlo simulations of concentrated suspensions of charged disk-like particles to reveal the role of Coulomb interactions and charge anisotropy underlying liquid crystal formation and structures. We obse…

02 engineering and technology010402 general chemistry01 natural sciencesLiquid crystalCoulombGeneral Materials Scienceliquid crystalPhysical and Theoretical ChemistryAnisotropyMonte Carlo simulationcharged discotic particlesPhysics021001 nanoscience & nanotechnologyElectrostaticsGlasses Colloids Polymers and Soft Matter0104 chemical sciencesCondensed Matter::Soft Condensed Matter[ PHYS.PHYS.PHYS-CHEM-PH ] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Crystallographycolumnar phaseChemical physicsVolume fractionExcluded volumeParticle[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]0210 nano-technologyColumnar phaseThe Journal of Physical Chemistry Letters
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A simulated annealing-based approach for the joint optimization of production/inventory and preventive maintenance policies

2017

Even if more reliable than the past, the performance of modern manufacturing systems is still affected by machine’s deteriorations and breakdowns. As a consequence, adequate maintenance programs must be implemented to adequately satisfy demands during manufacturing stops due to unexpected failures or preventive maintenance (PM) actions. Despite production and maintenance are closely related issues, their joint optimization has become an important research topic just during the last decade. Therefore, the present paper proposes a model for the combined optimization of production/inventory control and PM policies with the aim of minimizing the total expected cost per unit time. The model is f…

0209 industrial biotechnologyEngineeringService (systems architecture)0211 other engineering and technologies02 engineering and technologyPreventive maintenanceIndustrial and Manufacturing EngineeringContinuous production020901 industrial engineering & automationRobustness (computer science)Settore ING-IND/17 - Impianti Industriali MeccaniciProduction (economics)Settore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneMonte Carlo simulationInventory control021103 operations researchbusiness.industryPlanned maintenanceMechanical EngineeringSimulated annealing algorithmJoint optimizationPreventive maintenanceComputer Science ApplicationsReliability engineeringBuffer stockControl and Systems EngineeringSimulated annealingbusinessSoftwareThe International Journal of Advanced Manufacturing Technology
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Onset of cohesion in cement paste

2004

It is generally agreed that the cohesion of cement paste occurs through the formation of a network of nanoparticles of a calcium-silicate-hydrate ("C-S-H"). However, the mechanism by which these particles develop this cohesion has not been established. Here we propose a dielectric continuum model which includes all ionic interactions within a dispersion of C-S-H particles. It takes into account all co-ions and counterions explicitly (with pure Coulomb interactions between ions and between ions and the surfaces) and makes no further assumptions concerning their hydration or their interactions with the surface sites. At high surface charge densities, the model shows that the surface charge of…

0211 other engineering and technologiesCementNanoparticleIonic bonding02 engineering and technologyDielectricCSHIonchemistry.chemical_compound021105 building & constructionElectrochemistryGeneral Materials ScienceSurface chargecalcium silicate hydrateCalcium silicate hydrateionic correlationsSpectroscopyMonte Carlo simulation[CHIM.MATE] Chemical Sciences/Material chemistryIonic radiusatomic force microscopySurfaces and Interfaces[CHIM.MATE]Chemical Sciences/Material chemistry021001 nanoscience & nanotechnologyCondensed Matter PhysicsC-S-HcohesionchemistryChemical physics[ CHIM.MATE ] Chemical Sciences/Material chemistryCohesion (chemistry)nanoparticlesAFM0210 nano-technology
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Intermittent targeted therapies and stochastic evolution in patients affected by chronic myeloid leukemia

2016

Front line therapy for the treatment of patients affected by chronic myeloid leukemia (CML) is based on the administration of tyrosine kinase inhibitors, namely imatinib or, more recently, axitinib. Although imatinib is highly effective and represents an example of a successful molecular targeted therapy, the appearance of resistance is observed in a proportion of patients, especially those in advanced stages. In this work, we investigate the appearance of resistance in patients affected by CML, by modeling the evolutionary dynamics of cancerous cell populations in a simulated patient treated by an intermittent targeted therapy. We simulate, with the Monte Carlo method, the stochastic evolu…

0301 basic medicineOncologyDrugStatistics and Probabilitymedicine.medical_specialtymedicine.medical_treatmentmedia_common.quotation_subjectTargeted therapy03 medical and health sciencesClassical Monte Carlo simulations; computational biology; models for evolution (theory); mutational and evolutionary processes (theory); Statistical and Nonlinear Physics; Statistics and Probability; Statistics Probability and Uncertainty0302 clinical medicinecomputational biologyInternal medicinemedicineClassical Monte Carlo simulationmutational and evolutionary processes (theory)media_commonbusiness.industryMyeloid leukemiaStatistical and Nonlinear PhysicsImatinibSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Axitinib030104 developmental biology030220 oncology & carcinogenesisCancer cellToxicityStatistics Probability and Uncertaintybusinessmodels for evolution (theory)Tyrosine kinasemedicine.drugStatistical and Nonlinear Physic
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Memory effects and coverage dependence of surface diffusion in a model adsorption system

1999

We study the coverage dependence of surface diffusion coefficients for a strongly interacting adsorption system O/W(110) via Monte Carlo simulations of a lattice-gas model. In particular, we consider the nature and emergence of memory effects as contained in the corresponding correlation factors in tracer and collective diffusion. We show that memory effects can be very pronounced deep inside the ordered phases and in regions close to first and second order phase transition boundaries. Particular attention is paid to the details of the time dependence of memory effects. The memory effect in tracer diffusion is found to decay following a power law after an initial transient period. This beha…

Arrhenius equationPhysicsSurface diffusionPhase transitionCondensed matter physicsPhysicsMonte Carlo method02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesPower lawMonte Carlo simulationslattice-gas modelsymbols.namesakeExponential growth0103 physical sciencessymbolssurface diffusion coefficientsDiffusion (business)Exponential decay010306 general physics0210 nano-technologyadsorption systemsPhysical Review B
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DEALING WITH RISK IN AGRICULTURE: A CROP LEVEL ANALYSIS AND MANAGEMENT PROPOSAL FOR ITALIAN FARMS

2020

Risk management plays a critical role in agriculture, which is particularly exposed to multiple and heterogeneous risk factors. In addition to the traditional basic risks that generally characterize any business venture, agriculture faces external factors, generally difficult to control and with a strong impact on farm profitability. These are firstly environmental (pests and diseases) and climatic conditions that affect the quantity and quality of agricultural production, but also the structural constraints of the agricultural market, which is characterised by a high degree of supply rigidity, price volatility and inelasticity of demand. This leads to the need to implement risk management …

CAP PolicieRisk managementSettore AGR/01 - Economia Ed Estimo RuralehazelnutGross MarginProfitabilitysensitivity analysiIncome Stabilization ToolMonte Carlo simulationRisk analysi
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Computer simulation studies of finite-size broadening of solid–liquid interfaces: from hard spheres to nickel

2009

Using Molecular Dynamics (MD) and Monte Carlo (MC) simulations interfacial properties of crystal-fluid interfaces are investigated for the hard sphere system and the one-component metallic system Ni (the latter modeled by a potential of the embedded atom type). Different local order parameters are considered to obtain order parameter profiles for systems where the crystal phase is in coexistence with the fluid phase, separated by interfaces with (100) orientation of the crystal. From these profiles, the mean-squared interfacial width w^2 is extracted as a function of system size. We rationalize the prediction of capillary wave theory that w^2 diverges logarithmically with the lateral size o…

Capillary waveMaterials scienceMonte Carlo methodFOS: Physical scienceschemistry.chemical_elementlocal order parametersPhysics::Fluid DynamicsCrystalMolecular dynamicsPhase (matter)Mesoscale and Nanoscale Physics (cond-mat.mes-hall)AtomGeneral Materials Sciencemelting transitionMonte Carlo simulationCondensed Matter - Materials ScienceCondensed Matter - Mesoscale and Nanoscale PhysicsCondensed matter physicscrystal growthMaterials Science (cond-mat.mtrl-sci)Hard spheresCondensed Matter Physicscapillary wave theoryNickelmolecular dynamics simulationchemistryinterfacial stiffnessJournal of Physics: Condensed Matter
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