Search results for "Applied Physics"

showing 10 items of 1226 documents

Subamorphous thermal conductivity of crystalline half-Heusler superlattices

2021

The quest to improve the thermoelectric figure of merit has mainly followed the roadmap of lowering the thermal conductivity while keeping unaltered the power factor of the material. Ideally an electron-crystal phonon-glass system is desired. In this work, we report an extraordinary reduction of the cross-plane thermal conductivity in crystalline (TiNiSn):(HfNiSn) half-Heusler superlattices (SLs). We create SLs with thermal conductivities below the effective amorphous limit, which is kept in a large temperature range (120–300 K). We measured thermal conductivity at room temperature values as low as 0.75 W m−1 K−1, the lowest thermal conductivity value reported so far for half-Heusler compou…

Work (thermodynamics)Materials scienceSuperlatticesSuperlatticeFOS: Physical sciences02 engineering and technology01 natural sciencesThermal conductivity0103 physical sciencesThermalGeneral Materials ScienceDeposition (law)010302 applied physicsCondensed Matter - Materials ScienceCondensed matter physicsUltralow thermal conductivityMaterials Science (cond-mat.mtrl-sci)Atmospheric temperature range021001 nanoscience & nanotechnologyCondensed Matter PhysicsAtomic and Molecular Physics and OpticsAmorphous solidThermoelectric generatorAmorphous limit of thermal conductivityMechanics of Materials0210 nano-technology
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Connections Between Topology and Macroscopic Mechanical Properties of Three-Dimensional Open-Pore Materials

2018

This work addresses a number of fundamental questions regarding the topological description of materials characterized by a highly porous three-dimensional structure with bending as the major deformation mechanism. Highly efficient finite-element beam models were used for generating data on the mechanical behavior of structures with different topologies, ranging from highly coordinated bcc to Gibson–Ashby structures. Random cutting enabled a continuous modification of average coordination numbers ranging from the maximum connectivity to the percolation-cluster transition of the 3D network. The computed macroscopic mechanical properties–Young's modulus, yield strength, and Poisson's ratio–co…

Work (thermodynamics)Materials sciencetopologyMaterials Science (miscellaneous)Coordination numberModulus02 engineering and technologyBendingPoisson distributionTopologystructure–property relationship01 natural scienceslcsh:Technologysymbols.namesakeApproximation error0103 physical sciencesTechnik [600]Topology (chemistry)ddc:620.11010302 applied physicslcsh:T600data mining021001 nanoscience & nanotechnologyelastic-plastic deformation behaviormachine learningopen-pore materialssymbols0210 nano-technologyReduction (mathematics)ddc:600Frontiers in Materials
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2D slab models of TiO2 nanotubes for simulation of water adsorption: Validation over a diameter range

2020

Financial support provided by Scientific Research Project for Students and Young Researchers Nr. SJZ/2019/2 realized at the Institute of Solid State Physics, University of Latvia is greatly acknowledged. Institute of Solid State Physics, University of Latvia as the Center of Excellence has received funding from the European Union’s Horizon 2020 Framework Programme H2020-WIDESPREAD-01-2016-2017-TeamingPhase2 under Grant Agreement No. 739508, project CAMART 2 .

Work (thermodynamics)NanotubeSlab modelMaterials scienceWater adsorptionGeneral Physics and Astronomy02 engineering and technology01 natural sciencesDFTNanomaterialsCondensed Matter::Materials ScienceAdsorptionLattice constant0103 physical sciences:NATURAL SCIENCES:Physics [Research Subject Categories]TiO2Water splitting010302 applied physicsNanotubes021001 nanoscience & nanotechnologylcsh:QC1-999Chemical physicsSlabWater splitting0210 nano-technologylcsh:PhysicsPhotocatalytic water splitting
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Amorphous p-Type Conducting Zn-x Ir Oxide (x > 0.13) Thin Films Deposited by Reactive Magnetron Cosputtering

2021

Zinc-iridium oxide (Zn-Ir-O) thin films have been demonstrated as a p-type conducting material. However, the stability of p-type conductivity with respect to chemical composition or temperature is still unclear. In this study we discuss the local atomic structure and the electrical properties of Zn-Ir-O films in the large Ir concentration range. The films are deposited by reactive DC magnetron co-sputtering at two different substrate temperatures-without intentional heating and at 300 {\deg}C. Extended X-ray absorption fine structure (EXAFS) analysis reveals that strongly disordered ZnO4 tetrahedra are the main Zn complexes in Zn-Ir-O films with up to 67.4 at% Ir. As the Ir concentration in…

X-ray absorption spectroscopyReactive magnetronCondensed Matter - Materials ScienceMaterials scienceOxideAnalytical chemistryMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesPhysics - Applied PhysicsApplied Physics (physics.app-ph)Condensed Matter PhysicsElectronic Optical and Magnetic MaterialsAmorphous solidchemistry.chemical_compoundchemistryThin film
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Nanocrystalline CaWO$_4$ and ZnWO$_4$ Tungstates for Hybrid Organic-Inorganic X-ray Detectors

2023

The experiment at the DESY PETRA-III synchrotron was performed within project No. I-20211105 EC at the Institute of Solid State Physics, University of Latvia, as the Cen ter of Excellence has received funding from the European Union’s Horizon 2020 Framework Pro gramme H2020-WIDESPREAD-01-2016-2017-TeamingPhase2 under grant agreement No. 739508, project CAMART2.

X-ray sensingCondensed Matter - Materials Sciencehybrid organic–inorganic X-ray detectorsMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesGeneral Materials Science600:NATURAL SCIENCES::Physics [Research Subject Categories]Applied Physics (physics.app-ph)Physics - Applied Physicstungstates; hybrid organic–inorganic X-ray detectors; X-ray sensingddc:600tungstates
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Effects of particle clustering on the plastic deformation and damage initiation of particulate reinforced composite utilizing X-ray CT data and finit…

2018

In this paper, a new simulation technique which can include microstructural inhomogeneity of particulate reinforced composites is proposed to accurately study deformation pattern and damage mechanism in these composites. Three dimensional microstructures constructed from XCT images incorporated into finite element modeling codes with minimal approximation to capture the effects of cluster size, local volume fraction of particles in the cluster and the distance between clusters as relevant statistical quantities describing the microstructural inhomogeneity of particulate reinforced composites. A quantitative parameter as degree of clustering is defined to consider particle clustering effect.…

Yield (engineering)Materials scienceNon-destructive testing02 engineering and technologyFlow stressPlasticity01 natural sciencesIndustrial and Manufacturing Engineering0103 physical sciencesCluster (physics)von Mises yield criterionsimulointiComposite materialCluster analysista216Plastic deformationkomposiitit010302 applied physicsta114Mechanical EngineeringFinite element analysis (FEA)021001 nanoscience & nanotechnologymikrorakenteetParticle-reinforcementMechanics of MaterialsVolume fractionCeramics and CompositesDeformation (engineering)0210 nano-technologyCOMPOSITES PART B: ENGINEERING
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Nanoscale X-Ray Imaging of Spin Dynamics in Yttrium Iron Garnet

2019

Time-resolved scanning transmission x-ray microscopy (TR-STXM) has been used for the direct imaging of spin wave dynamics in thin film yttrium iron garnet (YIG) with spatial resolution in the sub 100 nm range. Application of this x-ray transmission technique to single crystalline garnet films was achieved by extracting a lamella (13x5x0.185 $\mathrm{\mu m^3}$) of liquid phase epitaxy grown YIG thin film out of a gadolinium gallium garnet substrate. Spin waves in the sample were measured along the Damon-Eshbach and backward volume directions of propagation at gigahertz frequencies and with wavelengths in a range between 100~nm and 10~$\mathrm{\mu}$m. The results were compared to theoretical …

Yttrium iron garnetFOS: Physical sciencesGeneral Physics and AstronomyLarge scale facilities for research with photons neutrons and ions02 engineering and technologySubstrate (electronics)Epitaxy01 natural scienceschemistry.chemical_compoundCondensed Matter::Materials ScienceSpin waveDispersion relationMesoscale and Nanoscale Physics (cond-mat.mes-hall)0103 physical sciencesThin film010302 applied physicsPhysicsMicroscopyCondensed matter physicsCondensed Matter - Mesoscale and Nanoscale PhysicsGadolinium gallium garnetYIG021001 nanoscience & nanotechnologyWavelengthchemistryMagnonics0210 nano-technology
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Filtering and emission area identification in the Time Resolved Imaging data

2012

Abstract Time Resolved Imaging (TRI) acquisitions allow precise timing analysis of emission spots. Up to date technologies deeply challenge their isolation by hiding the weak ones, under sizing or over sizing visually detectable emission spots and finally by jeopardizing timing resolution. We report on an algorithm based on 1 and 2D signal processing tools which automates the identification of emission sites and optimizes separation between noise and useful signal, even for weak spots surrounding strong emission areas. The application of the algorithm on several sets of data from different types of devices and their results are also discussed.

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer science[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technology01 natural sciencesImaging dataSignal[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciences0202 electrical engineering electronic engineering information engineeringIsolation (database systems)[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing010302 applied physicsSignal processingNoise (signal processing)business.industryPhoto EmissionStatic timing analysisPattern recognitionSizingIdentification (information)IC Failure AnalysisImage Thresholding[ SPI.NANO ] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Cluster matching in time resolved imaging for VLSI analysis

2014

International audience; If scaling has the benefit of enabling manufacturers to design tomorrow's integrated circuits, from the failure analyst point of view it also has the drawback of making devices more complex. The test sequence for modern VLSI can be quite long, with thousands of vector. Dynamic photon emission databases can contain millions of photons representing thousands of state changes in the region of interest. Finding a candidate location where to perform physical analysis is quite challenging, especially if the fault occurs on a single vector. In this paper, we suggest a new methodology to find single vector fault in dynamic photon emission database. The process is applied at …

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingMatching (graph theory)[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer science[SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologyIntegrated circuitFault (power engineering)computer.software_genre01 natural sciencesk-nearest neighbors algorithmlaw.invention[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processinglaw0103 physical sciences0202 electrical engineering electronic engineering information engineeringPoint (geometry)[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsCluster analysisComputer Science::Databases[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing010302 applied physicsVery-large-scale integrationProcess (computing)Computer engineering[ SPI.NANO ] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics020201 artificial intelligence & image processingData mining[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingcomputerProceedings of the 21th International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA)
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Investigation of the SHS mechanisms of titanium nitride by in situ time-resolved diffraction and infrared thermography

2007

Abstract The self-propagating high-temperature synthesis (SHS) or combustion synthesis is a promising process to produce advanced ceramics due to the high purity of the elaborated materials and the very short synthesis time. Titanium nitride has been synthesised from pressed titanium powder and a nitrogen gas flow under a 0.1 MPa pressure. The influence of the addition of a TiN diluent was investigated. For the first time, SHS reaction mechanisms were determined from in situ time-resolved X-ray diffraction (TRXRD) experiments using the synchrotron radiation. These experiments were coupled with infrared thermography to study the propagation of the combustion reaction. It appeared that the in…

[ PHYS.COND.CM-MS ] Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]Self-propagating high-temperature synthesischemistry.chemical_elementMineralogy02 engineering and technologyNitrideCombustion01 natural sciences7. Clean energyChemical reactionchemistry.chemical_compound0103 physical sciencesMaterials Chemistry010302 applied physicsMechanical EngineeringMetals and Alloys021001 nanoscience & nanotechnologyTitanium nitrideTitanium powderchemistryChemical engineeringMechanics of Materials[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]0210 nano-technologyTinTitaniumJournal of Alloys and Compounds
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