Search results for "UK"

showing 10 items of 16131 documents

The role of radio frequency scattering in high-energy electron losses from minimum-B ECR ion source

2021

Abstract The measurement of the axially lost electron energy distribution escaping from a minimum-B electron cyclotron resonance ion source in the range of 4–800 keV is reported. The experiments have revealed the existence of a hump at 150–300 keV energy, containing up to 15% of the lost electrons and carrying up to 30% of the measured energy losses. The mean energy of the hump is independent of the microwave power, frequency and neutral gas pressure but increases with the magnetic field strength, most importantly with the value of the minimum-B field. Experiments in pulsed operation mode have indicated the presence of the hump only when microwave power is applied, confirming that the origi…

010302 applied physics[PHYS]Physics [physics]High energyMaterials scienceScatteringAstrophysics::High Energy Astrophysical Phenomena[PHYS.PHYS.PHYS-ACC-PH]Physics [physics]/Physics [physics]/Accelerator Physics [physics.acc-ph]scatteringElectronhiukkaskiihdyttimetCondensed Matter Physicselektronit01 natural sciences7. Clean energyIon source010305 fluids & plasmasNuclear Energy and Engineering0103 physical sciencessirontaRadio frequencyAtomic physics
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The biased disc of an electron cyclotron resonance ion source as a probe of instability-induced electron and ion losses

2019

International audience; Electron Cyclotron Resonance Ion Source (ECRIS) plasmas are prone to kinetic instabilities resulting in loss of electron and ion confinement. It is demonstrated that the biased disk of an ECRIS can be used as a probe to quantify such instability-induced electron and ion losses occurring in less than 10 µs. The qualitative interpretation of the data is supported by the measurement of the energy spread of the extracted ion beams implying a transient plasma potential >1.5 kV during the instability. A parametric study of the electron losses combined with electron tracking simulations allows for estimating the fraction of electrons expelled in each instability event to be…

010302 applied physics[PHYS]Physics [physics]Materials sciencesyklotronit[PHYS.PHYS.PHYS-ACC-PH]Physics [physics]/Physics [physics]/Accelerator Physics [physics.acc-ph]ElectronPlasmahiukkaskiihdyttimetKinetic energyplasmafysiikka01 natural sciencesInstabilityElectron cyclotron resonanceIon source010305 fluids & plasmasIonPhysics::Plasma Physics0103 physical sciencesTransient (oscillation)Atomic physicsInstrumentation
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Towards Atomically Precise Supported Catalysts from Monolayer‐Protected Clusters: The Critical Role of the Support

2020

Abstract Controlling the size and uniformity of metal clusters with atomic precision is essential for fine‐tuning their catalytic properties, however for clusters deposited on supports, such control is challenging. Here, by combining X‐ray absorption spectroscopy and density functional theory calculations, it is shown that supports play a crucial role in the evolution of monolayer‐protected clusters into catalysts. Based on the acidic nature of the support, cluster‐support interactions lead either to fragmentation of the cluster into isolated Au–ligand species or ligand‐free metallic Au0 clusters. On Lewis acidic supports that bind metals strongly, the latter transformation occurs while pre…

010402 general chemistry01 natural sciencesgold clustersNanomaterials | Hot PaperCatalysiskultaCatalysisNanomaterialsmonolayer-protected clustersMetalklusteritnoncovalent interactionskatalyytitMonolayerCluster (physics)Non-covalent interactionschemistry.chemical_classificationX-ray absorption spectroscopyFull Paper010405 organic chemistryOrganic ChemistryX-ray absorption spectroscopyGeneral ChemistryFull Papersgold0104 chemical sciencesX-Ray Absorption SpectroscopychemistryChemical physicsvisual_artdensity functional calculationsvisual_art.visual_art_mediumDensity functional theorynanohiukkasetcluster-support interactionChemistry (Weinheim an Der Bergstrasse, Germany)
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Towards the synthesis of substituted porphyrins by a pyridyl group bearing a reactive functionality

2010

Pyridyl-substituted porphyrins bearing a reactive functionality were prepared via Suzuki cross-coupling reactions and resulted in very good yields. These compounds are precursors of new porphyrin architectures able to coordinate two metals: one in the porphyrin core and the second around the pyridyl moiety. During the coupling reactions, a higher reactivity of a chloro picolyl group was evidenced compared to a bromo function on the same reacting molecule.

010405 organic chemistryChemistryStereochemistry[CHIM.ORGA]Chemical Sciences/Organic chemistryGeneral Chemistry010402 general chemistry01 natural sciencesPorphyrinCoupling reaction0104 chemical sciencesA3B-porphyrinschemistry.chemical_compoundSuzuki reactionGroup (periodic table)[ CHIM.ORGA ] Chemical Sciences/Organic chemistryPolymer chemistrypolycyclic compoundsMoietyMoleculeheterocyclic compoundsReactivity (chemistry)meso-functionalizationSuzuki couplingpyridyl substituted porphyrinsComputingMilieux_MISCELLANEOUS
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Structurally characterized dipalladium(ii)-oxamate metallacyclophanes as efficient catalysts for sustainable Heck and Suzuki reactions in ionic liqui…

2018

A new generation of dipalladium-oxamate metallacyclophanes of formulas (n-NBu4)4 [Pd2(ppba)2] (1), (n-NBu4)4[Pd2(dpvba)2] (2), (n-NBu4)4[Pd2(dpazba)2] (3), (n-NBu4)4[Pd2(dpeba)2] (4) and (n-NBu4)4[Pd2(tpeba)2] (5) [n-NBu4+ = tetra-n-butylammonium cation, H4ppba = N,N′-1,4-phenylenebis(oxamic acid), H4dpvba = N,N′-4,4′-diphenylethenebis(oxamic acid), H4dpazba = N,N′-4,4′-diphenylazobis(oxamic acid), H4dpeba = N,N′-4,4′-diphenylethynebis(oxamic acid) and H4tpeba = N,N′-1,4-di(4-phenylethynyl)phenylenebis(oxamic acid)] was prepared. The crystal structure of the solvated species of 2–4, namely (n-NBu4)4[Pd2(dpvba)2]·6MeOH·2Et2O (2a), (n-NBu4)4[Pd2(dpazba)2]·8MeOH (3a), and (n-NBu4)2[Pd2(dpeba)2…

010405 organic chemistryChemistrychemistry.chemical_elementIonic bondingCrystal structure010402 general chemistry01 natural sciencesMedicinal chemistry0104 chemical sciencesCatalysisInorganic Chemistrychemistry.chemical_compoundDeprotonationSuzuki reactionIonic liquidPhenylboronic acidPalladiumInorganic Chemistry Frontiers
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Synthesis and structural characterization of well-defined bis(oxamato)palladate(II) precatalysts for Suzuki and Heck reactions

2018

Abstract A family of tetra-n-butylammonium salts of bis(oxamato)palladate(II) complexes of formula (n-Bu4N)2[Pd(Lm)2]·pH2O [m = 1–9; L1 = N-phenyloxamate (pma) and p = 2 (1), L2 = N-2-methylphenyloxamate (2-Mepma) and p = 4 (2), L3 = N-4-methylphenyloxamate (4-Mepma) and p = 2 (3), L4 = N-2,3-dimethylphenyloxamate (2,3-Me2pma) and p = 3 (4), L5 = N-2,4-dimethylphenyloxamate (Me2pma) and p = 4 (5), L6 = N-2,5-dimethylphenyloxamate (2,5-Me2pma) and p = 7 (6), L7 = N-3,4-dimethylphenyloxamate (3,4-Me2pma) and p = 6 (7), L8 = N-3,5-dimethylphenyloxamate (3,5-Me2pma) and p = 5 (8)] have been prepared and characterized by spectroscopic methods. The crystal structure of 1 that has been solved by s…

010405 organic chemistryLigandArylCrystal structure010402 general chemistry01 natural sciencesMedicinal chemistry0104 chemical sciencesCatalysisInorganic ChemistryBond lengthchemistry.chemical_compoundDeprotonationchemistrySuzuki reactionHeck reactionMaterials ChemistryPhysical and Theoretical ChemistryInorganica Chimica Acta
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Diving below the spin-down limit: Constraints on gravitational waves from the energetic young pulsar PSR J0537-6910

2021

We present a search for continuous gravitational-wave signals from the young, energetic X-ray pulsar PSR J0537-6910 using data from the second and third observing runs of LIGO and Virgo. The search is enabled by a contemporaneous timing ephemeris obtained using NICER data. The NICER ephemeris has also been extended through 2020 October and includes three new glitches. PSR J0537-6910 has the largest spin-down luminosity of any pulsar and is highly active with regards to glitches. Analyses of its long-term and inter-glitch braking indices provided intriguing evidence that its spin-down energy budget may include gravitational-wave emission from a time-varying mass quadrupole moment. Its 62 Hz …

010504 meteorology & atmospheric sciencesAstronomyAstrophysicsEP/ T017325/101 natural sciencesrotationGeneral Relativity and Quantum CosmologyPSR J0537−6910neutron starsLuminosityGravitatational Waves PSR J0537−6910 LIGO VirgoHISTORYLIGOSupernova remnantneutron star010303 astronomy & astrophysicsgravitational waveQCQBpulsarPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)Settore FIS/03N157BPhysics/dk/atira/pure/sustainabledevelopmentgoals/partnershipsGravitational waves neutron stars pulsarEPSRCPhysical Sciencesmoment: multipole[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]Astrophysics - High Energy Astrophysical PhenomenaGravitational wavedata analysis methodPSR J0537-6910Astrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesGeneral Relativity and Quantum Cosmology (gr-qc)Astronomy & AstrophysicsEphemeris1ST SEARCHGravitational wavesX-raySDG 17 - Partnerships for the GoalsPulsar0103 physical sciences/dk/atira/pure/subjectarea/asjc/1900/1912X-ray: emissiongravitational waves; pulsars; PSR J0537-6910; neutron starsSTFCAstrophysics::Galaxy Astrophysics0105 earth and related environmental sciencesScience & TechnologyNeutron Star Interior Composition ExplorerR-MODEGravitational waveVirgopulsar: rotationRCUKAstronomy and AstrophysicsLIGONeutron starVIRGOSUPERNOVA REMNANTSpace and Planetary Sciencegravitational radiation: emissionpulsars/dk/atira/pure/subjectarea/asjc/3100/3103Gravitatational Waves[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
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Potential impacts of a future Nordic bioeconomy on surface water quality

2020

AbstractNordic water bodies face multiple stressors due to human activities, generating diffuse loading and climate change. The ‘green shift’ towards a bio-based economy poses new demands and increased pressure on the environment. Bioeconomy-related pressures consist primarily of more intensive land management to maximise production of biomass. These activities can add considerable nutrient and sediment loads to receiving waters, posing a threat to ecosystem services and good ecological status of surface waters. The potential threats of climate change and the ‘green shift’ highlight the need for improved understanding of catchment-scale water and element fluxes. Here, we assess possible bio…

010504 meteorology & atmospheric sciencesClimate ChangeVDP::Landbruks- og Fiskerifag: 900::Landbruksfag: 910Geography Planning and DevelopmentLand managementClimate changemaankäyttö010501 environmental sciences01 natural sciencesEnvironmental Effects of a Green Bio-EconomyEcosystem servicesVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488Environmental ChemistryProduction (economics)Humans14. Life underwaterVDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920Ecosystem0105 earth and related environmental sciences2. Zero hungerBiomass (ecology)EcologyLand usebusiness.industryEnvironmental resource managementSurface waterGeneral Medicine15. Life on landModels TheoreticalvedenlaatuBioeconomy6. Clean waterWater qualitypintavesi13. Climate actionLand useEnvironmental scienceWater qualitybusinessbiotalousSurface waterForecasting
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Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks

2020

Interest in drone solutions in forestry applications is growing. Using drones, datasets can be captured flexibly and at high spatial and temporal resolutions when needed. In forestry applications, fundamental tasks include the detection of individual trees, tree species classification, biomass estimation, etc. Deep neural networks (DNN) have shown superior results when comparing with conventional machine learning methods such as multi-layer perceptron (MLP) in cases of huge input data. The objective of this research is to investigate 3D convolutional neural networks (3D-CNN) to classify three major tree species in a boreal forest: pine, spruce, and birch. The proposed 3D-CNN models were emp…

010504 meteorology & atmospheric sciencesComputer sciencehyperspectral image classificationScience0211 other engineering and technologiesgeoinformatics02 engineering and technologyneuroverkot01 natural sciencesConvolutional neural networkpuulajitPARAMETERSSet (abstract data type)LIDARFORESTSClassifier (linguistics)021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryDeep learningspektrikuvausQHyperspectral imagingdeep learningPattern recognition15. Life on landmiehittämättömät ilma-aluksetPerceptron113 Computer and information sciencesClass (biology)drone imagery3d convolutional neural networksmetsänarviointiMACHINEkoneoppiminentree species classification3D convolutional neural networksGeneral Earth and Planetary SciencesRGB color modelArtificial intelligencekaukokartoitusbusinesshyperspectral image classificationRemote Sensing
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Dukono, the predominant source of volcanic degassing in Indonesia, sustained by a depleted Indian-MORB

2017

Co-auteur étranger; International audience; Located on Halmahera island, Dukono is among the least known volcanoes in Indonesia. A compilation of the rare available reports indicates that this remote and hardly accessible volcano has been regularly in eruption since 1933, and has undergone nearly continuous eruptive manifestation over the last decade. The first study of its gas emissions, presented in this work, highlights a huge magmatic volatile contribution into the atmosphere, with an estimated annual output of about 290 kt of SO2, 5000 kt of H2O, 88 kt of CO2, 5 kt of H2S and 7 kt of H2. Assuming these figures are representative of the long-term continuous eruptive activity, then Dukon…

010504 meteorology & atmospheric sciencesDepleted mantle sourceLavaEarth sciencedegassing budget[ SDU.STU.VO ] Sciences of the Universe [physics]/Earth Sciences/Volcanology010502 geochemistry & geophysics01 natural sciencesMantle (geology)Geochemistry and Petrology[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistryevolution[SDU.STU.VO]Sciences of the Universe [physics]/Earth Sciences/VolcanologyDukono VolcanoSedimentologyComputingMilieux_MISCELLANEOUSMagma source0105 earth and related environmental sciencesDukono volcanogeographygeography.geographical_feature_categorySubductionGas emissionsmagma source evolution[ SDU.STU.GC ] Sciences of the Universe [physics]/Earth Sciences/GeochemistryVolcanodepleted mantle sourceDegassing budget13. Climate actionGeology
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