Search results for " ANN"

showing 10 items of 1343 documents

Confinement-induced polymorphism in acetylsalicylic acid–nanoporous glass composites

2018

We report on the experimental observation of confinement-induced new phase appearance in acetylsalicylic acid (ASA)–porous glass (PG) composites. In this study, ASA was embedded in PG host matrices of various pore widths (15–200 nm). The Raman spectra and positron annihilation lifetime measurements exhibit the existence of ASA nanocrystals in the PG matrix. The DSC data revealed that the melting temperature TM and excess specific heat decrease with decreasing the size of embedded ASA nanocrystals. The close inspection of the TM dependence versus diameter of filled pores has shown that the ASA crystallizes in polymorph II in confined matrix. Moreover, it was demonstrated that the ASA spatial…

Materials scienceSpecific heatNanoporous020502 materialsMechanical EngineeringMelting temperature02 engineering and technologydigestive system diseasessymbols.namesakesurgical procedures operativeGlass composites0205 materials engineeringChemical engineeringNanocrystalPolymorphism (materials science)Mechanics of MaterialssymbolsGeneral Materials ScienceRaman spectroscopyPositron annihilationJournal of Materials Science
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The effect of annealing temperature and time on synthesis of graphene thin films by rapid thermal annealing

2015

In this paper, we performed synthesis of graphene thin films by rapid thermal annealing (RTA) of thin nickel copper (Ni/Cu) layers deposited on spectroscopic graphite as a carbon source. Furthermore, we investigated the effect of annealing temperature and annealing time on formation and quality of synthesized graphene films. Raman spectroscopy study showed that annealing at lower temperatures results in formation of monolayer graphene films, while annealing at higher temperatures results in formation of multilayer graphene films. We used Raman mapping to determine the distribution of graphene sheets. Surface morphology of graphene thin films was investigated by atomic force microscopy and s…

Materials scienceThin films.Annealing (metallurgy)Scanning electron microscopeThin filmsvirusesAnalytical chemistry02 engineering and technology010402 general chemistry01 natural scienceslaw.inventionsymbols.namesakelawMaterials ChemistryGraphiteThin filmGraphene; Graphite; Rapid thermal annealing; Thin films.Graphene oxide paperRapid thermal annealingGrapheneMechanical EngineeringMetals and Alloys021001 nanoscience & nanotechnologyCondensed Matter Physics0104 chemical sciencesElectronic Optical and Magnetic MaterialsChemical engineeringMechanics of MaterialssymbolsGraphiteGraphene0210 nano-technologyRaman spectroscopyGraphene nanoribbonsSynthetic Metals
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Selective growth and optical properties of sputtered BaTiO3films

2000

we report the growth of BaTiO 3 thin films by standard Radio Frequency sputtering. Without any in situ or post annealing, these polycristalline films are oriented relative to the substrate even when it is amorphous. We show that this preferential orientation may be monitored using a DC Bias during the film growth. At room temperature, cubic films of (100) and (110) orientations have been achieved, on fused silica substrate. Some optical waveguiding properties of these films have been studied. The resulting film index is 2.26 and the optical step index at the substrate interface is sharp. This allows the use of standard RF sputtering techniques to monitor oriented BaTiO 3 films for linear op…

Materials sciencebusiness.industrySubstrate (electronics)Condensed Matter PhysicsRadio frequency sputteringElectronic Optical and Magnetic MaterialsAmorphous solidPost annealingSputteringOptoelectronicsThin filmbusinessInstrumentationDC biasThe European Physical Journal Applied Physics
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Cu cluster shell structure at elevated temperatures

1991

Equilibrium structures of small (3--29)-atom Cu clusters are determined by simulated annealing, and finite-temperature ensembles are simulated by Monte Carlo techniques using the effective-medium theory for the energy calculation. Clusters with 8, 18, and 20 atoms are found to be particularly stable. The equilibrium geometrical structures are determined and found to be determined by a Jahn-Teller distortion, which is found to affect the geometry also at high temperatures. The ``magic'' clusters retain their large stability even at elevated temperatures.

Materials sciencechemistryCondensed matter physicsDistortionSimulated annealingMonte Carlo methodCluster (physics)General Physics and Astronomychemistry.chemical_elementStability (probability)CopperMolecular physicsPhysical Review Letters
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Substrate and atmosphere influence on oxygen p-doped graphene

2016

Abstract The mechanisms responsible for p-type doping of substrate supported monolayer graphene (Gr) by thermal treatments in oxygen ambient have been investigated by micro-Raman spectroscopy, atomic force microscopy (AFM) and X-ray Photoelectron Spectroscopy (XPS), considering commonly employed dielectric substrates, such as SiO 2 and Al 2 O 3 thin films grown on Si. While a high p-type doping (∼10 13  cm −2 ) is observed for Gr on SiO 2 , no significant doping is found for Gr samples on the Al 2 O 3 substrate, suggesting a key role of the Gr/SiO 2 interface states in the trapping of oxygen responsible for the Gr p-type doping. Furthermore, we investigated the doping stability of Gr on SiO…

Materials sciencegenetic structuresSettore FIS/01 - Fisica SperimentaleDopingAnalytical chemistrychemistry.chemical_element02 engineering and technologyGeneral ChemistrySubstrate (electronics)Dielectric010402 general chemistry021001 nanoscience & nanotechnology01 natural sciencesNitrogenOxygenGraphene doping substrate effects thermal effects Raman Spectroscopy0104 chemical sciencesp-type doped grapheneX-ray photoelectron spectroscopychemistryoxygen annealingGeneral Materials ScienceThin film0210 nano-technologySpectroscopyCarbon
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A fast heuristic for solving the D1EC coloring problem

2010

In this paper we propose an efficient heuristic for solving the Distance-1 Edge Coloring problem (D1EC) for the on-the-fly assignment of orthogonal wireless channels in wireless as soon as a topology change occurs. The coloring algorithm exploits the simulated annealing paradigm, i.e., a generalization of Monte Carlo methods for solving combinatorial problems. We show that the simulated annealing-based coloring converges fast to a sub optimal coloring scheme even for the case of dynamic channel allocation. However, a stateful implementation of the D1EC scheme is needed in order to speed-up the network coloring upon topology changes. In fact, a stateful D1EC reduces the algorithm’s convergen…

Mathematical optimization:QA Mathematics::QA75 Electronic computers. Computer science [Q Science]TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESChannel allocation schemesHeuristic (computer science)Computer scienceSettore ING-INF/03 - Telecomunicazioni:T Technology (General) [T Technology]Topology (electrical circuits)Greedy coloringEdge coloringTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESStateful firewall:Q Science (General) [Q Science]TheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYConvergence (routing)Simulated annealing:TK Electrical engineering. Electronics Nuclear engineering [T Technology]Channel assignment Edge coloring Simulated annealing.MathematicsofComputing_DISCRETEMATHEMATICS
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Time scales of adaptive behavior and motor learning in the presence of stochastic perturbations.

2009

In this paper, the major assumptions of influential approaches to the structure of variability in practice conditions are discussed from the perspective of a generalized evolving attractor landscape model of motor learning. The efficacy of the practice condition effects is considered in relation to the theoretical influence of stochastic perturbations in models of gradient descent learning of multiple dimension landscapes. A model for motor learning is presented combining simulated annealing and stochastic resonance phenomena against the background of different time scales for adaptation and learning processes. The practical consequences of the model's assumptions for the structure of pract…

Mathematical optimizationAcclimatizationMovementBiophysicsExperimental and Cognitive PsychologyMotor ActivityOscillometryAttractorAdaptation PsychologicalHumansLearningOrthopedics and Sports MedicineAttentionMotor skillAdaptive behaviorBehaviorStochastic ProcessesStochastic processbusiness.industryGeneral MedicineStochastic resonance (sensory neurobiology)Motor SkillsSimulated annealingArtificial intelligenceMotor learningGradient descentbusinessPsychologyNoiseHuman movement science
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Stochastic reconstruction of sandstones

2000

A simulated annealing algorithm is employed to generate a stochastic model for a Berea and a Fontainebleau sandstone with prescribed two-point probability function, lineal path function, and ``pore size'' distribution function, respectively. We find that the temperature decrease of the annealing has to be rather quick to yield isotropic and percolating configurations. A comparison of simple morphological quantities indicates good agreement between the reconstructions and the original sandstones. Also, the mean survival time of a random walker in the pore space is reproduced with good accuracy. However, a more detailed investigation by means of local porosity theory shows that there may be s…

Mathematical optimizationCondensed Matter - Materials ScienceStochastic modellingStochastic processIsotropyMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesGeometryProbability density functionPhysics::GeophysicsDistribution functionRandom walker algorithmSimulated annealingPorosityGeology
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A novel heuristics-based energy management system for a multi-carrier hub enriched with solid hydrogen storage

2014

In this paper, an efficient optimization algorithm for the energy management of a grid-connected energy hub plant is proposed. The Simulated Annealing algorithm is adopted for the solution of the energy management problem aiming at the profit maximization for the owner of the energy hub plant. The use of a heuristic algorithm was required by the non-linearity of the efficiencies of each component in the energy transformation stages. The proposed heuristics is applied to a large energy hub, corresponding to the simulation of the test-bed that is being designed and developed inside the ongoing INGRID European research project.

Mathematical optimizationEngineeringEnergy managementbusiness.industryProfit maximizationsmart grids renewable energy sources simulated annealingEnergy storageSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaEnergy management systemComponent (UML)Simulated annealingEnergy transformationHeuristicsbusinessProceedings of the 5th international conference on Future energy systems
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Implementing some Evolutionary Computing Methods for Determining the Optimal Parameters in the Turning Process

2015

In this paper, we comparatively present two heuristics search methods – Simulated Annealing and Weighted Sum Genetic Algorithm, in order to find optimal cutting parameters in turning operation. We consider five different constraints aiming to achieve minimum total cost of machining. We developed a customizable software application in Microsoft Visual Studio with C# source code, flexible and extensible that implements the optimization methods. The experiments are based on real data gathered from S.C. “Compa” S.A Sibiu, a company that manufactures automotive components and targets improving of product quality and reducing cost and production time. The obtained results show that, although the …

Mathematical optimizationEngineeringSource codebusiness.industrymedia_common.quotation_subjectGeneral MedicineMachine learningcomputer.software_genreAdaptive simulated annealingEvolutionary computationMicrosoft Visual StudioSoftwareSimulated annealingGenetic algorithmArtificial intelligenceHeuristicsbusinesscomputermedia_commonApplied Mechanics and Materials
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