Search results for "Scale model"

showing 10 items of 64 documents

A multiphase multiobjective dynamic genome-scale model shows different redox balancing among yeast species of the saccharomyces genus in fermentation

2021

Yeasts constitute over 1,500 species with great potential for biotechnology. Still, the yeast Saccharomyces cerevisiae dominates industrial applications, and many alternative physiological capabilities of lesser-known yeasts are not being fully exploited. While comparative genomics receives substantial attention, little is known about yeasts’ metabolic specificity in batch cultures. Here, we propose a multiphase multiobjective dynamic genome-scale model of yeast batch cultures that describes the uptake of carbon and nitrogen sources and the production of primary and secondary metabolites. The model integrates a specific metabolic reconstruction, based on the consensus Yeast8, and a kinetic …

Cryotolerant speciesPhysiologySaccharomyces cerevisiaeBatch fermentationsSaccharomyces speciesBiochemistryRedoxSaccharomycesMicrobiologyRedox balance03 medical and health sciencesSaccharomycesDynamic genome-scale modelsGeneticsMolecular BiologyEcology Evolution Behavior and Systematics030304 developmental biologyComparative genomics0303 health sciencesbiologyKinetic model030306 microbiologyChemistryKinetic modelbiology.organism_classificationYeastQR1-502YeastComputer Science ApplicationsFlux balance analysisMetabolismModeling and SimulationFermentationBiochemical engineeringBatch cultures
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Objective Bayesian point and region estimation in location-scale models.

2007

Point and region estimation may both be described as specific decision problems. In point estimation, the action space is the set of possible values of the quantity on interest; in region estimation, the action space is the set of its possible credible regions. Foundations dictate that the solution to these decision problems must depend on both the utility function and the prior distribution. Estimators intended for general use should surely be invariant under one-to-one transformations, and this requires the use of an invariant loss function; moreover, an objective solution requires the use of a prior which does not introduce subjective elements. The combined use of an invariant informatio…

Intrinsic LossTeoria de la decisióRegion Estimation:62 Statistics::62B Sufficiency and information [Classificació AMS]Intrinsic DiscrepancyStatisticsEstadísticaReference Analysis:MATEMÁTICAS::Estadística [UNESCO]UNESCO::MATEMÁTICAS::EstadísticaCredible RegionsConfidence Intervals ; Credible Regions ; Decision Theory ; Intrinsic Discrepancy ; Intrinsic Loss ; Location-Scale Models ; Noninformative Prior ; Reference Analysis ; Region Estimation ; Point EstimationPoint EstimationDecision TheoryInferenceInferència:62 Statistics::62F Parametric inference [Classificació AMS]Confidence IntervalsLocation-Scale ModelsNoninformative Prior:62 Statistics::62C Decision theory [Classificació AMS]
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Modelling Polycrystalline Materials: An Overview of Three-Dimensional Grain-Scale Mechanical Models

2014

International audience; A survey of recent contributions on three-dimensional grain-scale mechanical modelling of polycrystalline materials is given in this work. The analysis of material micro-structures requires the generation of reliable micro-morphologies and affordable computational meshes as well as the description of the mechanical behavior of the elementary constituents and their interactions. The polycrystalline microstructure is characterized by the topology, morphology and crystallographic orientations of the individual grains and by the grain interfaces and microstructural defects, within the bulk grains and at the inter-granular interfaces. Their analysis has been until recentl…

Work (thermodynamics)Materials scienceMechanical engineeringNanotechnologyPolycrystalline microstructure02 engineering and technology01 natural sciencesThree-dimensional modellingMesoscale modelling[PHYS.MECA.MEMA]Physics [physics]/Mechanics [physics]/Mechanics of materials [physics.class-ph]Polycrystalline material0103 physical sciencesPolygon meshPolycrystalline MaterialsSettore ING-IND/04 - Costruzioni E Strutture AerospazialiTopology (chemistry)010302 applied physicsMechanical modelsScale (chemistry)[PHYS.MECA.MSMECA]Physics [physics]/Mechanics [physics]/Materials and structures in mechanics [physics.class-ph]021001 nanoscience & nanotechnologyComputer Science ApplicationsModeling and Simulation[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]Crystallite0210 nano-technology
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Re-evaluation of moisture sources for the August 2002 extreme rainfall episode in central Europe: Evaporation from falling precipitation included in …

2015

Summary Discriminating moisture sources with precision is an important requirement to better understand the processes involved in extreme rainfall episodes. In a previous contribution by Gangoiti et al. (2011b), an innovative technique was presented to assess surface moisture sources contributing to a target precipitation within a Lagrangian framework. The technique was based in transporting parcels of vapor, representing the target precipitation, across a set of nested grids covering a large area at different resolutions. A mesoscale model estimated the meteorological variables to transport and redistribute the vapor back into its original sources, all of them assumed to be at the surface.…

Mediterranean climateMoistureSurface moistureCentral EuropeEvaporationMesoscale meteorologyExtreme rainfallMesoscale modelingMoisture sources evaluationMediterraneanOpen seaClimatologyEnvironmental scienceVapor transportPrecipitationFalling (sensation)Water Science and TechnologyJournal of Hydrology
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The on-line coupled atmospheric chemistry model system MECO(n) – Part 5: Expanding the Multi-Model-Driver (MMD v2.0) for 2-way data exchange includin…

2018

Abstract. As part of the Modular Earth Submodel System (MESSy), the Multi-Model-Driver (MMD v1.0) was developed to couple online the regional Consortium for Small-scale Modeling (COSMO) model into a driving model, which can be either the regional COSMO model or the global European Centre Hamburg general circulation model (ECHAM) (see Part 2 of the model documentation). The coupled system is called MECO(n), i.e., MESSy-fied ECHAM and COSMO models nested n times. In this article, which is part of the model documentation of the MECO(n) system, the second generation of MMD is introduced. MMD comprises the message-passing infrastructure required for the parallel execution (multiple programme mul…

ECHAMatmospheric chemistryTheoretical computer science010504 meteorology & atmospheric sciencesComputer science0208 environmental biotechnology02 engineering and technology01 natural sciencesComputational scienceMESSyMECO(n)Erdsystem-Modellierungddc:550multi-scale modelling0105 earth and related environmental sciencesEMACtwo-way-nestinCOSMObusiness.industrylcsh:QE1-996.5grid transformationModular designGrid020801 environmental engineeringlcsh:GeologyEarth sciencesTransformation (function)Modular Earth Submodel SystemData exchangeLine (geometry)dustGRIDbusinessMulti-Model-DriverremappingInterpolationData transmissionGeoscientific Model Development
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Effect of the Time Dependent Loading of Type IV Cylinders using a Multiscale Model

2019

International audience; The current requirements for composite cylinders are still based on an arbitrary approach derived from the behaviour of metal structures, that the designed burst pressure should be at least 2.5 times the maximum in-service pressure [1]. This could lead to an over-designed composite cylinder for which the weight saving would be less than optimum. Moreover, predicting the lifetime of composite cylinders is a challenging task due to their anisotropic characteristics. A federal research institute in Germany (BAM) has proposed a minimum load-cycle requirement that mitigates this issue by using a Monte-Carlo analysis of the burst test results [2-3]. To enrich this study, m…

fibre breaktype IV cylinders[SPI.MECA.STRU]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Structural mechanics [physics.class-ph]time dependent load[SPI.MECA.MEMA]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of materials [physics.class-ph][SPI.MECA.MSMECA] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Materials and structures in mechanics [physics.class-ph]multiscale model[SPI.MECA.STRU] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Structural mechanics [physics.class-ph][SPI.MECA.MSMECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Materials and structures in mechanics [physics.class-ph][SPI.MECA.MEMA] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of materials [physics.class-ph]
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A simulation tool for analysis and design of reverse electrodialysis using concentrated brines

2015

Abstract Reverse electrodialysis (SGP-RE or RED) represents a viable technology for the conversion of the salinity gradient power into electric power. A comprehensive model is proposed for the RED process using sea or brackish water and concentrated brine as feed solutions. The goals were (i) reliably describing the physical phenomena involved in the process and (ii) providing information for optimal equipment design. For such purposes, the model has been developed at two different scales of description: a lower scale for the repeating unit of the system (cell pair), and a higher scale for the entire equipment (stack). The model was implemented in a process simulator, validated against orig…

EngineeringSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciGeneral Chemical EngineeringSettore ING-IND/25 - Impianti Chimicisea waterprocess simulator7. Clean energyReversed electrodialysisOsmotic powerProcess engineeringSalinity Gradient PowerPower densitygeographygeography.geographical_feature_categoryBrackish waterbusiness.industryEnvironmental engineeringReverse ElectrodialysiGeneral ChemistryInlet6. Clean waterVolumetric flow ratebrineBrineElectric powerbusinessSalinity Gradient Power; Reverse Electrodialysis; sea water; brine; process simulator; multi-scale modelmulti-scale modelChemical Engineering Research and Design
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two-scale three-dimensional boundary element framework for degradation and failure in polycrystalline materials

2014

A fully three-dimensional two-scale boundary element approach to degradation and failure in polycrystalline materials is proposed. The formulation involves the engineering component level (macroscale) and the material grain scale (micro-scale). The damage-induced local softening at the macroscale is modelled employing an initial stress approach. The microscopic degradation processes are explicitly modelled by associating Representative Volume Elements (RVEs) to relevant points of the macro continuum and employing a three-dimensional grain-boundary formulation to simulate intergranular degradation and failure in the microstructural Voronoi-type morphology through cohesive-frictional contact …

Multiscale modellingPolycrystalline materialNon-linear boundary element method.Settore ING-IND/04 - Costruzioni E Strutture AerospazialiMicromechanic
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Simulation of surface energy fluxes and meteorological variables using the Regional Atmospheric Modeling System (RAMS): Evaluating the impact of land…

2018

Atmospheric mesoscale numerical models are commonly used not only for research and air quality studies, but also for other related applications, such as short-term weather forecasting for atmospheric, hydrological, agricultural and ecological modelling. A key element to produce faithful simulations is the proper representation of the soil parameters used in the initialization of the corresponding mesoscale numerical model. The Regional Atmospheric Modeling System (RAMS) is used in the current study. The model code has been updated in order to permit the model to be initialized using a heterogeneous soil moisture and temperature distribution derived from land surface models. Particularly, RA…

Land coverAtmospheric ScienceNumerical weather prediction/forecasting010504 meteorology & atmospheric sciencesMeteorology0208 environmental biotechnologyWeather forecastingMesoscale meteorologyInitialization02 engineering and technologyLand covercomputer.software_genre01 natural sciencesMesoscale modellingWeather stationData assimilationFluxNetMeteorologiaLand surface modelsSurface energy fluxes0105 earth and related environmental sciencesGlobal and Planetary ChangeSoil initializationFísica de la TierraForestry020801 environmental engineeringRegional Atmospheric Modeling SystemEnvironmental scienceAgronomy and Crop Sciencecomputer
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Multiscale modelling of structure formation of C$_{60}$ on insulating CaF$_2$ substrates

2021

Morphologies of adsorbed molecular films are of interest in a wide range of applications. To study the epitaxial growth of these systems in computer simulations requires access to long time and length scales, and one typically resorts to kinetic Monte Carlo (KMC) simulations. However, KMC simulations require as input transition rates and their dependence on external parameters (such as temperature). Experimental data allow only limited and indirect access to these rates, and models are often oversimplified. Here, we follow a bottom-up approach and aim at systematically constructing all relevant rates for an example system that has shown interesting properties in experiments, buckminsterfull…

Condensed Matter - Materials ScienceStructure formationMaterials science010304 chemical physicsGeneral Physics and AstronomyMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesSubstrate (electronics)Computational Physics (physics.comp-ph)010402 general chemistry01 natural sciencesMultiscale modeling0104 chemical sciencesMolecular dynamicschemistry.chemical_compoundCondensed Matter::Materials ScienceBuckminsterfullerenechemistry0103 physical sciencesMolecular filmKinetic Monte CarloStatistical physicsPhysical and Theoretical ChemistryPhysics - Computational PhysicsFree parameter
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