Search results for "LUS"

showing 10 items of 19536 documents

Nonanuclear Spin-Crossover Complex Containing Iron(II) and Iron(III) Based on a 2,6-Bis(pyrazol-1-yl)pyridine Ligand Functionalized with a Carboxylat…

2016

The synthesis and magnetostructural characterization of [Fe(III)3(μ3-O)(H2O)3[Fe(II)(bppCOOH)(bppCOO)]6](ClO4)13·(CH3)2CO)6·(solvate) (2) are reported. This compound is obtained as a secondary product during synthesis of the mononuclear complex [Fe(II)(bppCOOH)2](ClO4)2 (1). The single-crystal X-ray diffraction structure of 2 shows that it contains the nonanuclear cluster of the formula [Fe(III)3(μ3-O)(H2O)3[Fe(II)(bppCOOH)(bppCOO)]6](13+), which is formed by a central Fe(III)3O core coordinated to six partially deprotonated [Fe(II)(bppCOOH)(bppCOO)](+) complexes. Raman spectroscopy studies on single crystals of 1 and 2 have been performed to elucidate the spin and oxidation states of iron …

010405 organic chemistryStereochemistryTrimer010402 general chemistry01 natural sciences0104 chemical sciencesInorganic Chemistrychemistry.chemical_compoundsymbols.namesakeCrystallographyDeprotonationchemistrySpin crossoverCluster (physics)symbolsAntiferromagnetismCarboxylatePhysical and Theoretical ChemistrySpin (physics)Raman spectroscopyInorganic chemistry
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Joint interpretation of seismic refraction tomography and electrical resistivity tomography by cluster analysis to detect buried cavities

2020

Abstract In the last few years, the geophysical methods of seismic refraction tomography (SRT) and electrical resistivity tomography (ERT) are among the most used geophysical techniques for the reconstruction of subsoil geometries, for the investigation of underground cavities and also for the archaeological prospecting. However, the main disadvantage of each geophysical method is the difficulty of final interpretation of the data. In order to eliminate artifacts and generally improve the reliability and accuracy of geophysical interpretation, it is useful to perform a joint approach of different geophysical methods, also introducing the a priori information. In this work, it is shown the i…

010504 meteorology & atmospheric sciences010502 geochemistry & geophysics01 natural sciencesSRT ERT Joint interpretation K-means cluster analysis Modeling CavityInterpretation (model theory)GeophysicsElectrical resistivity and conductivitySettore GEO/11 - Geofisica ApplicataCluster (physics)A priori and a posterioriTomographySeismic refractionElectrical resistivity tomographyJoint (geology)GeologySeismology0105 earth and related environmental sciences
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Strombolian eruptions and dynamics of magma degassing at Yasur Volcano (Vanuatu)

2020

Abstract Open vent basaltic volcanoes account for a substantial portion of the global atmospheric outgassing flux, largely through passive degassing and mild explosive activity. We present volcanic gas flux and composition data from Yasur Volcano, Vanuatu collected in July 2018. The average volcanic plume chemistry is characterised by a mean molar CO2/SO2 ratio of 2.14, H2O/SO2 of 148 and SO2/HCl of 1.02. The measured mean SO2 flux in the period of 6th to 9th July is 4.9 kg s−1. Therefore, the mean fluxes of the other species are 7.5 kg∙s−1 CO2, 208 kg∙s−1 H2O and 4.8 kg∙s−1 HCl. The degassing regime at Yasur volcano ranges from ‘passive’ to ‘active’ styles, with the latter including Stromb…

010504 meteorology & atmospheric sciencesBasaltic open vent volcanoessub-05Gas fluxes010502 geochemistry & geophysics01 natural sciencesStrombolian activityFlux (metallurgy)Geochemistry and PetrologyCrystal content in magmaPetrology0105 earth and related environmental sciencesBasaltgeographygeography.geographical_feature_categoryBasaltic open vent volcanoes Crystal content in magma Gas fluxes Magma fluxes Strombolian activity YasurStrombolian eruptionMagma fluxesOutgassingGeophysicsVolcanoVolcanic plumeMagmaInclusion (mineral)YasurGeology
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A roadmap for amphibious drilling at the Campi Flegrei caldera: insights from a MagellanPlus workshop

2019

Large calderas are among the Earth's major volcanic features. They are associated with large magma reservoirs and elevated geothermal gradients. Caldera-forming eruptions result from the withdrawal and collapse of the magma chambers and produce large-volume pyroclastic deposits and later-stage deformation related to post-caldera resurgence and volcanism. Unrest episodes are not always followed by an eruption; however, every eruption is preceded by unrest. The Campi Flegrei caldera (CFc), located along the eastern Tyrrhenian coastline in southern Italy, is close to the densely populated area of Naples. It is one of the most dangerous volcanoes on Earth and represents a key example of an acti…

010504 meteorology & atmospheric sciencesCalderasGeochemistryEnergy Engineering and Power TechnologyPyroclastic rockVolcanologyMagma chamberVolcanism010502 geochemistry & geophysics01 natural sciencesdrillingsouthern ItalycalderaCaldera14. Life underwater0105 earth and related environmental sciencesgeographygeography.geographical_feature_categoryMechanical Engineeringlcsh:QE1-996.5VolcanologyMagellanPlus workshopInternational Ocean Discovery Programlcsh:GeologyCampi Flegrei calderaVolcanoItaly13. Climate actionEruptionMagmacaldera Campi Flegrei monitopring system hydrothermal system IODPCampi FlegreiGeology
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Controlled time integration for the numerical simulation of meteor radar reflections

2016

We model meteoroids entering the Earth[U+05F3]s atmosphere as objects surrounded by non-magnetized plasma, and consider efficient numerical simulation of radar reflections from meteors in the time domain. Instead of the widely used finite difference time domain method (FDTD), we use more generalized finite differences by applying the discrete exterior calculus (DEC) and non-uniform leapfrog-style time discretization. The computational domain is presented by convex polyhedral elements. The convergence of the time integration is accelerated by the exact controllability method. The numerical experiments show that our code is efficiently parallelized. The DEC approach is compared to the volume …

010504 meteorology & atmospheric sciencesComputer scienceMETEORPLASMATIC OBJECTSRADAR REFLECTIONS01 natural sciencesplasmatic objectslaw.inventionINTEGRAL EQUATIONSlawRadar010303 astronomy & astrophysicsSpectroscopyEARTH ATMOSPHEREvolume integral equationRadiationPLASMANUMERICAL MODELSMathematical analysisFinite differenceNUMERICAL METHODMETEORSAtomic and Molecular Physics and OpticsCALCULATIONSControllabilityDISCRETE EXTERIOR CALCULUSAstrophysics::Earth and Planetary AstrophysicsMAGNETOPLASMADiscretizationRADAR REFLECTIONTIME DOMAIN ANALYSISVOLUME INTEGRAL EQUATIONdiscrete exterior calculusELECTROMAGNETIC SCATTERINGOpticsFINITE DIFFERENCE TIME DOMAIN METHOD0103 physical sciencesSCATTERINGTime domainmeteorsNUMERICAL METHODS0105 earth and related environmental sciencesta113ta114Computer simulationbusiness.industryta111Finite-difference time-domain methodRADARDiscrete exterior calculuselectromagnetic scatteringradar reflectionsELECTROMAGNETIC METHODmeteoritbusinessJournal of Quantitative Spectroscopy and Radiative Transfer
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Estimating Missing Information by Cluster Analysis and Normalized Convolution

2018

International audience; Smart city deals with the improvement of their citizens' quality of life. Numerous ad-hoc sensors need to be deployed to know humans' activities as well as the conditions in which these actions take place. Even if these sensors are cheaper and cheaper, their installation and maintenance cost increases rapidly with their number. We propose a methodology to limit the number of sensors to deploy by using a standard clustering technique and the normalized convolution to estimate environmental information whereas sensors are actually missing. In spite of its simplicity, our methodology lets us provide accurate assesses.

010504 meteorology & atmospheric sciencesComputer sciencemedia_common.quotation_subjectReal-time computingEnergy Engineering and Power Technology02 engineering and technologyIterative reconstructionsmart city dealsCluster (spacecraft)01 natural sciencesIndustrial and Manufacturing Engineeringnormalized convolutionstandard clustering technique[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]ConvolutionArtificial IntelligenceSmart city11. Sustainability0202 electrical engineering electronic engineering information engineeringLimit (mathematics)SimplicityCluster analysisInstrumentationad-hoc sensors0105 earth and related environmental sciencesmedia_commonSettore INF/01 - InformaticaRenewable Energy Sustainability and the EnvironmentComputer Science Applications1707 Computer Vision and Pattern Recognitionenvironmental informationmissing informationComputer Networks and CommunicationKernel (image processing)020201 artificial intelligence & image processingcluster analysis2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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An autonomous petrological database for geodynamic simulations of magmatic systems

2022

SUMMARY Self-consistent modelling of magmatic systems is challenging as the melt continuously changes its chemical composition upon crystallization, which may affect the mechanical behaviour of the system. Melt extraction and subsequent crystallization create new rocks while depleting the source region. As the chemistry of the source rocks changes locally due to melt extraction, new calculations of the stable phase assemblages are required to track the rock evolution and the accompanied change in density. As a consequence, a large number of isochemical sections of stable phase assemblages are required to study the evolution of magmatic systems in detail. As the state-of-the-art melting diag…

010504 meteorology & atmospheric sciencesDatabaseFunction (mathematics)Parameter space010502 geochemistry & geophysicscomputer.software_genre01 natural sciencesGeophysicsGeochemistry and Petrology13. Climate actionPhase (matter)Principal component analysisProbability distributionComputational problemCluster analysiscomputerMassively parallel0105 earth and related environmental sciencesGeophysical Journal International
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Noble gas magmatic signature of the Andean Northern Volcanic Zone from fluid inclusions in minerals

2021

Trace volatile elements like He are key for understanding the mantle source signature of magmas and to better constrain the relative roles of subduction and crustal processes to the variability of along-arc chemical and isotopic signatures of magmatic fluids. Here we report on noble gas abundances and isotopic data of Fluid Inclusions (FIs) in eruptive products and/or fumarolic gases from the Colombia-Ecuador segment of Andean Northern Volcanic Zone (NVZ). FIs in olivine phenocrysts from Ecuador (El Reventador, Cotopaxi and Tungurahua) yield air-normalized corrected He-3/He-4 ratios of 7.0-7.4 R-A, within the MORB range (8 +/- 1 R-A). With exception of the Cotopaxi lavas (opx = 50 km at the…

010504 meteorology & atmospheric sciencesGeochemistryAndean Volcanic Belt Helium voclanic gases Crustal thickness Fluid inclusions Helium Noble gases Northern Volcanic Zoneengineering.material010502 geochemistry & geophysics01 natural sciencesHeliumMantle (geology)Noble gaseGeochemistry and Petrology[SDU.STU.VO]Sciences of the Universe [physics]/Earth Sciences/VolcanologyCrustal thickneFluid inclusions[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentVolatilesFluid inclusions0105 earth and related environmental sciencesgeographygeography.geographical_feature_categoryOlivineSubductionGeologyNorthern Volcanic ZoneFluid inclusionNoble gasesCrustal thicknessVolcanoAndean Volcanic BeltengineeringPhenocrystGeology
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Oligo-Miocene lacustrine microbial and metazoan buildups from the Limagne Basin (French Massif Central)

2018

The Limagne Basin (French Massif Central) is an extensive continental lacustrine system accommodating microbial and metazoan buildups from Chattian to Aquitanian age. A description of these buildups and their associated biotic components in Grand Gandaillat and Crechy quarries provides insights into their spatio-temporal distribution patterns. Flats, cauliflowers, domes, cones and coalescent columnar morphologies have been identified with a main laminated mesofabric and laminated, columnar, filamentous and caddisfly-coated microfabrics. Two low-gradient margin models emerged based on the changes in the distribution, morphology and size of the microbial and metazoan-rich deposits through tim…

010504 meteorology & atmospheric sciencesGeochemistryCarbonatesVolcanismEcological successionStructural basin010502 geochemistry & geophysicsOceanography01 natural sciencesVolcanismMarlCycle ClimateEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEarth-Surface Processesgeographygeography.geographical_feature_categoryPaleontologyMassif15. Life on landTectonicTectonicsVolcanoSedimentary rockLacustrine/palustrine[SDU.STU.PG]Sciences of the Universe [physics]/Earth Sciences/PaleontologyGeology
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Carbon isotope composition of CO2-rich inclusions in cumulate-forming mantle minerals from Stromboli volcano (Italy)

2017

We report on measurements of concentration and carbon isotope composition (δ13CCO2) of CO2 trapped in fluid inclusions of olivine and clinopyroxene crystals separated from San Bartolo ultramafic cumulate Xenoliths (SBX) formed at mantle depth (i.e., beneath a shallow Moho supposed to be at 14.8 km). These cumulates, erupted about 2 ka ago at Stromboli volcano (Italy), have been already investigated by Martelli et al. (2014) mainly for Sr-Nd isotopes and for their noble gases geochemistry. The concentration of CO2 varies of one order of magnitude from 3.8·10− 8 mol g− 1 to 4.8·10− 7 mol g− 1, with δ13C values between − 2.8‰ and − 1.5‰ vs V-PDB. These values overlap the range of measurements …

010504 meteorology & atmospheric sciencesGeochemistryUltramafic cumulateengineering.material010502 geochemistry & geophysics01 natural sciencesMantle (geology)Impact craterUltramafic rockGeochemistry and PetrologyFluid inclusionsXenolith0105 earth and related environmental sciencesgeographygeography.geographical_feature_categoryOlivineδ13CSettore GEO/07 - Petrologia E PetrografiaStromboli volcanoFluid inclusionGeophysicsVolcanoengineeringδ13CCO2MantleGeology
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