Relevant bibliographies by topics / Functional Gold Clusters

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Functional Gold Clusters'

Author: Grafiati
Published: 7 September 2023

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Journal articles on the topic "Functional Gold Clusters"

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Ferrari, Piero, and Klavs Hansen. "Computing gold cluster energies with density functional theory: the importance of correlation." Physical Chemistry Chemical Physics 23, no. 27 (2021): 14830–35. http://dx.doi.org/10.1039/d1cp02084f.

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Calculating energy-dependent properties on gold clusters via density functional theory depend critically on the choice of functional. Here we use measured dissociation energies as benchmark data for testing the performance of different functionals.
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Allen, Darnel J., Wayne E. Archibald, John A. Harper, John C. Saputo, and Daniel Torres. "Density Functional Investigation of the Inclusion of Gold Clusters on a CH3S Self-Assembled Lattice on Au(111)." Advances in Chemistry 2016 (October 17, 2016): 1–8. http://dx.doi.org/10.1155/2016/6080343.

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We employ first-principles density functional theoretical calculations to address the inclusion of gold (Au) clusters in a well-packed CH3S self-assembled lattice. We compute CH3S adsorption energies to quantify the energetic stability of the self-assembly and gold adsorption and dissolution energies to characterize the structural stability of a series of Au clusters adsorbed at the SAM-Au interface. Our results indicate that the inclusion of Au clusters with less than four Au atoms in the SAM-Au interface enhances the binding of CH3S species. In contrast, larger Au clusters destabilize the se
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Priyanka, Sumali Bansal, and Keya Dharamvir. "Structure of Small Gold Clusters with Si Doping Using DFT (AunSi, n=1-10, 19)." Journal of Nano Research 24 (September 2013): 203–12. http://dx.doi.org/10.4028/www.scientific.net/jnanor.24.203.

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The structures of silicon doped gold clusters AunSi (n = 1-10 and 19) have been investigated using first principle calculations based on density functional theory (DFT). Calculations indicate that the stability of a gold cluster increases with the introduction of a Si atom. In all the low lying geometries, Si prefers peripheral positions. For every ground state configuration with n > 3 (n = 6 and 9 being exceptions) Si has tetra-coordination. In almost all of the tetra coordinated geometries the coordination unit including Si, is in the form of a square pyramid with gold atoms forming the s
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Alamanova, Denitsa, Yi Dong, Habib ur Rehman, Michael Springborg, and Valeri G. Grigoryan. "Structural and Electronic Properties of Gold Clusters." Computing Letters 1, no. 4 (2005): 319–30. http://dx.doi.org/10.1163/157404005776611394.

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We study the structure and energetics of AuN clusters by means of parameterfree density-functional calculations (N ≤ 8), jellium calculations (N ≤ 60), embeddedatom calculations (N ≤ 150), and parameterized density-functional calculations (N ≤ 40) in combination with different methods for determining the structure of the lowest total energy. By comparing the results from the different approaches, effects due to geometric packing and those due to the electronic orbitals can be identified. Different descriptors that highlight the results of the analysis are presented and used.
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Bulbula, Shimeles T., and Hagos W. Zeweldi. "Density Functional Study of Electronic and Structural Properties of Gold-Cadmium Selenide/Telluride Nanoclusters." Advances in Materials Science and Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/847693.

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Semiconductor nanowires are one class of building blocks that show promise for application in nanoscale electronics. Metal-semiconductor nanowire helps to improve the electrical properties or create unique ones. Electronic and structural properties of cadmium selenide/telluride connected to gold electrode clusters have been the focus of this research due to their importance in constructing fast microelectric devices. The simulations were carried out by using VASP (ViennaAb-InitioSimulation Package) which utilizes the method of density functional theory (DFT) and plane wave basis set. Optimizat
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Vuong, Van Quan, Jenica Marie L. Madridejos, Bálint Aradi, Bobby G. Sumpter, Gregory F. Metha, and Stephan Irle. "Density-functional tight-binding for phosphine-stabilized nanoscale gold clusters." Chemical Science 11, no. 48 (2020): 13113–28. http://dx.doi.org/10.1039/d0sc04514d.

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We report a parameterization of the density-functional tight-binding (DFTB) method for the accurate prediction of molecular, electronic and vibrational structure of phosphine-ligated nanoscale gold clusters, metalloids, and gold surfaces.
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Shi, Yong, Cuihua Zhao, Xing Chen, Cuiting Chen, Xi Zhou та Jianhua Chen. "DFT study on the electronic structure and optical properties of an Au-deposited α-Fe2O3 (001) surface". RSC Advances 12, № 9 (2022): 5447–57. http://dx.doi.org/10.1039/d1ra07933f.

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The electronic structure and optical properties of gold clusters deposited on an α-Fe2O3 surface were studied by using density functional theory (DFT), with a special emphasis on the influence of Au cluster sizes.
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Zhao, Shuang, YunLi Ren, YunLai Ren, JianJi Wang, and WeiPing Yin. "Density Functional Study of Hydrogen Binding on Gold and Silver−Gold Clusters." Journal of Physical Chemistry A 114, no. 14 (2010): 4917–23. http://dx.doi.org/10.1021/jp910230p.

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Chen, Yuheng. "Biosensors Based on Gold Nano-Clusters." Theoretical and Natural Science 4, no. 1 (2023): 110–18. http://dx.doi.org/10.54254/2753-8818/4/20220531.

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The world is entering an era of strong infectious diseases, and it is urgent to develop a new type of rapid, efficient detection system. This graph specifically illustrates the detection function of the gold nanoparticles, and the gold nanoparticles-based sensor. Gold-based nanoclusters (NCs) which has a small particle size, has a high degree of stability and no impact on the biological activity. Gold-based NCs has a surface plasma resonance effect and produces visible color, which can be detected by observing the color change using the agglomeration reaction of the detected substance with Gol
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Lang, Sandra M., Thorsten M. Bernhardt, Joost M. Bakker, Bokwon Yoon, and Uzi Landman. "Methanol C–O Bond Activation by Free Gold Clusters Probed via Infrared Photodissociation Spectroscopy." Zeitschrift für Physikalische Chemie 233, no. 6 (2019): 865–80. http://dx.doi.org/10.1515/zpch-2018-1368.

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Abstract The activation of methanol (CD3OD and CD3OH) by small cationic gold clusters has been investigated via infrared multiphoton dissociation (IR-MPD) spectroscopy in the 615–1760 cm−1 frequency range. The C–O stretch mode around 925 cm−1 and a coupled CD3 deformation/C–O stretch mode around 1085 cm−1 are identified to be sensitive to the interaction between methanol and the gold clusters, whereas all other modes in the investigated spectral region remain unaffected. Based on the spectral shift of these modes, the largest C–O bond activation is observed for the mono-gold Au(CD3OD)+ cluster
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Dissertations / Theses on the topic "Functional Gold Clusters"

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Amft, Martin. "Density Functional Theory Studies of Small Supported Gold Clusters and Related Questions : What a Difference an Atom Makes." Doctoral thesis, Uppsala universitet, Materialteori, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-133246.

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During the last decades the specific manipulation of matter on the (sub-) nanometer scale, also known as nanoscience, became possible by technologies such as the scanning tunneling microscope. Nanocatalysts, i.e. catalytic active structures of up to a few nanometers in size, belong to this rather new class of materials. Unlike ordinary ’macroscopic’ catalytic materials, the performance of nanocatalysts does not simply scale, for instance, with the surface to volume ratio of the active material. In this Thesis model nanocatalysts are investigated by means of ab-initio density functional theory
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Rojas-Cervellera, Víctor. "Ab initio molecular dynamics study of thiolate-protected gold clusters and their interaction with biomolecules." Doctoral thesis, Universitat Politècnica de Catalunya, 2015. http://hdl.handle.net/10803/317382.

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Thiolate monolayer-protected gold clusters (AuMPCs) are being used in various biological and biomedical applications due to their unique physical and chemical properties. The fact that gold-sulphur bonds are very stable enables the binding of biomolecules in the surface of gold clusters through a cysteine, an amino acid that contains a thiol group (SH). Specific AuMPCs-peptide conjugates can cross the blood-brain barrier without altering its integrity, opening the door for the treatment of pathologies related to the central nervous system, such as Alzheimer or Parkinson. Moreover, AuMPCs repre
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Vural, Kivilcim Basak. "Adsorption Of Gold Atoms On Anatase Tio2 (100)-1x1 Surface." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/3/12610962/index.pdf.

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In this work the electronic and structural properties of anatase TiO2 (100) surface and gold adsorption have been investigated by using the first-principles calculations based on density functional theory (DFT). TiO2 is a wide band-gap material and to this effects it finds numerous applications in technology such as, cleaning of water, self-cleaning, coating, solar cells and so on. Primarily, the relation between the surface energy of the anatase (100)-1x1 phase and the TiO2-layers is examined. After an appropriate atomic layer has been chosen according to the stationary state of the TiO2 s
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Oku, Yoshiaki. "Properties and Functions of Ultrasmall Silver and Gold Clusters on AgBr Microcrystals for Silver Halide Imaging." Kyoto University, 1999. http://hdl.handle.net/2433/181791.

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Burgess, Robertson Wesley. "A TDDFT study of the optical absorption spectra of gold and silver clusters." Thesis, 2012. http://hdl.handle.net/1959.13/936786.

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Research Doctorate - Doctor of Philosophy (PhD)<br>The absorption cross-section over the optical range of frequencies of gold and silver clusters of up to 171 atoms was calculated using time-dependent density functional theory. Calculations were performed using the package Octopus and used the explicit time propagation method. The wavefunctions were calculated over a real-space grid and exchange-correlation interactions were including using the local density approximation. Structures were cleaved from a bulk crystal and included high-symmetry structures as well as structures with lower levels
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Ting, Chao-Ming. "Theoretical studies of molecule-substrate interaction at complex gold and silicon oxide surfaces using surface and cluster models." Thesis, 2020. http://hdl.handle.net/1828/12550.

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The formation and patterns of a monolayer are determined by the interplay of two fundamental interactions, adsorbate-substrate and intermolecular interactions. The binding strength between adsorbate and substrate affects the mobility of the adsorbate at the surface and the stability of the complex. The intermolecular interaction plays a significant role in the monolayer patterns on the epitaxial layer of the substrate. A monolayer can be formed either by a spontaneous self-assembly, or by fabrication via atomic-layer deposition (ALD). The physical and chemical properties of the resulting monol
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Stephens, John Adam. "Simulation tools for predicting the atomic configuration of bimetallic catalytic surfaces." 2012. http://hdl.handle.net/2152/22175.

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Transition metal alloys are an important class of materials in heterogeneous catalysis due in no small part to the often greatly enhanced activity and selectivity they exhibit compared to their monometallic constituents. A host of experimental and theoretical studies have demonstrated that, in many cases, these synergistic effects can be attributed to atomic-scale features of the catalyst surface. Realizing the goal of designing -- rather than serendipitously discovering -- new alloy catalysts thus depends on our ability to predict their atomic configuration under technologically relevant cond
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Books on the topic "Functional Gold Clusters"

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Hardy, Duncan. Associations and the Discourses of Peace, Common Weal, and Empire. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198827252.003.0008.

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Associations such as alliances and leagues were not merely functional tools. The rhetoric found in treaties and correspondence suggests that some members of associations perceived their participation as an activity freighted with political and moral significance. Almost all alliance and league foundation treaties and renewals contain appeals to clusters of ideas, centred on the concepts of divinely ordained peace, the common good of the community, and the Holy Roman Empire (conceptually linked, from the late fifteenth century, to the ‘German nation’). These discourses can only be found in this
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Book chapters on the topic "Functional Gold Clusters"

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Koyasu, Kiichirou, Keisuke Hirata, and Tatsuya Tsukuda. "Characterization of Chemically Modified Gold/Silver Superatoms in the Gas Phase." In Physical Chemistry of Cold Gas-Phase Functional Molecules and Clusters. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9371-6_8.

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Zanti, Giuseppe, and Daniel Peeters. "Electronic structure analysis of small gold clusters Au m (m ≤ 16) by density functional theory." In Highlights in Theoretical Chemistry. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-41315-5_22.

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Kurashige, W., R. Kumazawa, S. Yoshino, and Y. Negishi. "Thiolate-Protected Gold Clusters as Functional Materials in Photocatalysts." In Encyclopedia of Interfacial Chemistry. Elsevier, 2018. http://dx.doi.org/10.1016/b978-0-12-409547-2.13006-9.

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Surono, Sugiyarto, Annisa Eka Haryati, and Joko Eliyanto. "An Optimization of Several Distance Function on Fuzzy Subtractive Clustering." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2021. http://dx.doi.org/10.3233/faia210204.

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Fuzzy Subtractive Clustering (FSC) is a technique of fuzzy clustering where the cluster to be formed is unknown. The distance function in the FSC method has an important role in determining the number of points that have the most neighbors. Therefore, this study uses several distance functions. The results obtained indicate that the DBI results indicate that the Euclidean distance has a good cluster evaluation result in the number of clusters 4. Meanwhile, for the PC value the combination of the Minkowski Chebysev distance produces a good PC value in the number of clusters 2.
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Karami, Amin. "A Novel Fuzzy Anomaly Detection Algorithm Based on Hybrid PSO-Kmeans in Content-Centric Networking." In Advances in Computational Intelligence and Robotics. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9474-3.ch017.

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In Content-Centric Networks (CCNs) as a promising network architecture, new kinds of anomalies will arise. Usually, clustering algorithms would fit the requirements for building a good anomaly detection system. K-means is a popular anomaly detection method; however, it suffers from the local convergence and sensitivity to selection of the cluster centroids. This chapter presents a novel fuzzy anomaly detection method that works in two phases. In the first phase, authors propose an hybridization of Particle Swarm Optimization (PSO) and K-means algorithm with two simultaneous cost functions as well-separated clusters and local optimization to determine the optimal number of clusters. When the optimal placement of clusters centroids and objects are defined, it starts the second phase. In this phase, the authors employ a fuzzy approach by the combination of two distance-based methods as classification and outlier to detect anomalies in new monitoring data. Experimental results demonstrate that the proposed method can yield high accuracy as compared to preexisting algorithms.
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Hasan Bouzari, Hosein, Rasoul Malekfar, and Laleh Farhang Matin. "A DFT Investigation on Different Graphene Based Substrates on SERS: A Case Study of TiO2 Adsorbed Gold/Graphene." In Graphene – A Wonder Material for Scientists and Engineers [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.109033.

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In this study, the Raman and the surface-enhanced Raman scattering (SERS) spectra of TiO2 adsorbed on gold/graphene cluster is explained by density functional theory (DFT) calculations. we concentrated on the interaction between TiO2, Au, and graphene, in which graphene is presented as a substrate component in SERS. Results indicate that changing graphene type including pure graphene and B/N-doped graphene enables modifications of interaction between molecule, gold, and graphene cluster. The Raman and SERS spectra of compounds are compared considering the intensity of spectra, which demonstrate the intensity dependence on graphene type which is due to the effects of chemical and electromagnetic properties.
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Tossell, John A., and David J. Vaughan. "Theoretical Methods." In Theoretical Geochemistry. Oxford University Press, 1992. http://dx.doi.org/10.1093/oso/9780195044034.003.0005.

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In this chapter, the most important quantum-mechanical methods that can be applied to geological materials are described briefly. The approach used follows that of modern quantum-chemistry textbooks rather than being a historical account of the development of quantum theory and the derivation of the Schrödinger equation from the classical wave equation. The latter approach may serve as a better introduction to the field for those readers with a more limited theoretical background and has recently been well presented in a chapter by McMillan and Hess (1988), which such readers are advised to study initially. Computational aspects of quantum chemistry are also well treated by Hinchliffe (1988). In the section that follows this introduction, the fundamentals of the quantum mechanics of molecules are presented first; that is, the “localized” side of Fig. 1.1 is examined, basing the discussion on that of Levine (1983), a standard quantum-chemistry text. Details of the calculation of molecular wave functions using the standard Hartree-Fock methods are then discussed, drawing upon Schaefer (1972), Szabo and Ostlund (1989), and Hehre et al. (1986), particularly in the discussion of the agreement between calculated versus experimental properties as a function of the size of the expansion basis set. Improvements on the Hartree-Fock wave function using configuration-interaction (CI) or many-body perturbation theory (MBPT), evaluation of properties from Hartree-Fock wave functions, and approximate Hartree-Fock methods are then discussed. The focus then shifts to the “delocalized” side of Fig. 1.1, first discussing Hartree-Fock band-structure studies, that is, calculations in which the full translational symmetry of a solid is exploited rather than the point-group symmetry of a molecule. A good general reference for such studies is Ashcroft and Mermin (1976). Density-functional theory is then discussed, based on a review by von Barth (1986), and including both the multiple-scattering self-consistent-field Xα method (MS-SCF-Xα) and more accurate basis-function-density-functional approaches. We then describe the success of these methods in calculations on molecules and molecular clusters. Advances in density-functional band theory are then considered, with a presentation based on Srivastava and Weaire (1987). A discussion of the purely theoretical modified electron-gas ionic models is followed by discussion of empirical simulation, and we conclude by mentioning a recent approach incorporating density-functional theory and molecular dynamics (Car and Parrinello, 1985).
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Shukla, Madhulata, and Indrajit Sinha. "Catalytic Activation of PVP-Stabilized Gold/Silver Cluster on p- Nitrophenol Reduction: A DFT." In Density Functional Calculations - Recent Progresses of Theory and Application. InTech, 2018. http://dx.doi.org/10.5772/intechopen.72097.

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Doğan, Onur. "Heuristic Approaches in Clustering Problems." In Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2944-6.ch006.

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Clustering is an approach used in data mining to classify objects in parallel with similarities or separate according to dissimilarities. The aim of clustering is to decrease the amount of data by grouping similar data items together. There are different methods to cluster. One of the most popular techniques is K-means algorithm and widely used in literature to solve clustering problem is discussed. Although it is a simple and fast algorithm, there are two main drawbacks. One of them is that, in minimizing problems, solution may trap into local minimum point since objective function is not convex. Since the clustering is an NP-hard problem and to avoid converging to a local minimum point, several heuristic algorithms applied to clustering analysis. The heuristic approaches are a good way to reach solution in a short time. Five approaches are mentioned briefly in the chapter and given some directions for details. For an example, particle swarm optimization approach was used for clustering problem. In example, iris dataset including 3 clusters and 150 data was used.
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Arzamazov, Aleksey. "Inmar, the Udmurt God, in Modern Udmurt Literature." In Sator. ELM Scholarly Press, 2021. http://dx.doi.org/10.7592/sator.2021.22.06.

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One of the productive directions of research into Udmurt literature (and more broadly other Finno-Ugric ‘small’ literary traditions) is the identification and interpretation of multidimensional mythological clusters, textual representativeness and semantic ambivalence. In this work I have focused on only one aspect, the functional and semantic field of a particular character in Udmurt mythology and national poetry at the turn of the 21st century. The chosen mythological character is Inmar/God. The study has predominantly focused on ethnic and futuristic poems by Petr Zakharov, Viktor Shibanov, and Larisa Orekhova, characterised by a high concentration of mythological symbols. The presented research demonstrates how complex the image of Inmar is for direct artistic understanding.
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Conference papers on the topic "Functional Gold Clusters"

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Sperka, Jirí, Lenka Zajícková, Ondrej Jasek, et al. "Growth of Carbon Materials on Gold Substrate by Plasma Enhanced CVD." In 13th International Conference on Plasma Surface Engineering September 10 - 14, 2012, in Garmisch-Partenkirchen, Germany. Linköping University Electronic Press, 2013. http://dx.doi.org/10.3384/wcc2.395-398.

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Carbon is a versatile building element of many interesting materials that have already find practical applications in the form of thin films (diamond, DLC) or potential applications in the form of nanostructures (fullerenes, carbon nanotubes, graphene). For electronics or sensors, it is important to provide a very good contact to the functional structures. Gold is the best choice taking into account its inertness, i. e. oxidation resistance. From this point of view the investigation of the growth of carbon materials on gold is important. The carbon-gold interaction plays an important role in d
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Lindsay, H. M., M. Y. Lin, D. A. Weitz, R. Klein, and P. Meakin. "Contribution of rotational diffusion to quasielastic light scattering from fractal clusters." In International Laser Science Conference. Optica Publishing Group, 1986. http://dx.doi.org/10.1364/ils.1986.thi6.

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In quasielastic light scattering the decay of the autocorrelation function of the scattered light is due to both translational and rotational diffusion. The clusters formed by the kinetic aggregation of colloids have a random structure, which is scale invariant or fractal. This results in a large contribution from rotational diffusion when the size of the cluster becomes comparable to or greater than 1/q, where q is the scattering vector. We measure the scattering from gold colloid clusters, which are aggregated in two different ways, producing clusters with fractal dimensions of 1.8 and 2.1.
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Cosnita, Daniel alexandru, and Neculai eugen Seghedin. "CLUSTER COMPETITIVENESS PLATFORM." In eLSE 2017. Carol I National Defence University Publishing House, 2017. http://dx.doi.org/10.12753/2066-026x-17-134.

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Clusters are regional agglomerations of enterprises (industry), universities and research organisations (RDI), regional/local public authorities and other catalyst institutions gathered around common objectives and goals. Cluster models are strictly linked to measuring their competitiveness based on innovation and internationalisation, as they are regional development instruments in the first place. Several platforms are currently in use at international level measuring cluster competitiveness, created and focused on the very objective they have been defined for. The Cluster Modelling Platform
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Veličković, Suzana, and Xianglei Kong. "„Superalkali” clusters, production, potential application like energy storage materials." In 8th International Conference on Renewable Electrical Power Sources. SMEITS, 2020. http://dx.doi.org/10.24094/mkoiee.020.8.1.15.

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One of the major developments of the past century was the recognition of clusters as building blocks of new materials. “Superalkali” clusters because of their ionization energies which lower than alkaline atoms, present the excellent reducing agents; hence, they are recognized as good can-didates for the synthesis of unusually compounds. “Superalkalis”, plays an important role in the chemistry and material science because of their potential to serve as structural units for the assem-bly of novel nanostructured functional materials, such as nonlinear optical materials, hydrogen storage material
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Davidson, Jacob D., and N. C. Goulbourne. "Electromechanical Coupling in Ionic Polymer-Metal Composites." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-39582.

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Ionic polymer-metal composites (IPMCs) are smart materials which function as soft sensors and actuators. When a small DC voltage (1–5 V) is applied to an IPMC in a cantilever configuration, ion and solvent transport through the thickness of the polymer membrane causes the transducer to bend towards the anode. For device development and use in engineering applications, actuation is often described at a higher level in terms of an electromechanical coupling between the ionic charge distribution and the stresses developed in the IPMC. In this work we derive a set of relationships describing the c
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Sousa Júnior, Edilson, Airton Carneiro Freitas, Ricardo Rabelo, and Welflen Santos. "Estimation of Radial Basis Function Network Centres via Informational Forces." In Congresso Brasileiro de Inteligência Computacional. SBIC, 2021. http://dx.doi.org/10.21528/cbic2021-85.

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The Radial Basis Function Network centres determination is a open problem. In this work, the cluster centres are determined by a proposed gradient algorithm using the information forces acting on each data point. These centres are applied to a Radial Basis Function Network for data classification. A threshold is established based on Information Potential to classify the outliers. Combined, the threshold and the centres determined by information forces show good results in comparison to a similar Network with a k-means clustering algorithm.
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Yuan, Yuan, and Diana-Andra Borca-Tasciuc. "The Influence of Coating and Agglomeration on Specific Absorption Rate of Iron Oxide Nanoparticles." In ASME 2011 9th International Conference on Nanochannels, Microchannels, and Minichannels. ASMEDC, 2011. http://dx.doi.org/10.1115/icnmm2011-58217.

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Magnetic nanofluids can be remotely heated by alternating magnetic field and have significant potential for cancer hyperthermia therapy. The heat generated by magnetic nanoparticles is typically quantified by the specific absorption rate (SAR), which represents the thermal power per unit mass of magnetic material generated in the presence of an alternating magnetic field. During hyperthermia treatment, heat dosage of tumor tissue correlates with slowing tumor growth. The therapeutic ratios of cancer can be increased with the use of biofunctionalized magnetic nanoparticles that have higher SAR
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Wong, Eric K. L., and Geraldine L. Richmond. "Laser excitation spectroscopy: a probe of metal ion binding in polymers." In International Laser Science Conference. Optica Publishing Group, 1986. http://dx.doi.org/10.1364/ils.1986.fg6.

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The structure and the function of many macromolecules and organic polymers are dependent on the specific sites bound to metal ions. Metal binding in some ionic polymers is in the form of ionic clusters. The objective of our laser-induced fluorescence studies is to gain a better understanding of the structure and binding properties of these clusters by using europium ions as probes. Eu(III) has many unique spectral properties which make it a good luminescent probe of the metal binding in polymers. The energy, fluorescence quantum yield, and lifetime of the excited state of the 7F0 → 5D0 transit
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Mabuchi, Takuya, and Takashi Tokumasu. "Molecular Dynamics Study of Proton and Water Transport in Nafion Membrane." In ASME 2013 11th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icnmm2013-73084.

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Polymer electrolyte fuel cells (PEFCs) are highly expected as a next-generation power supply system due to the purity of its exhaust gas, its high power density and high efficiency. The polymer electrolyte membrane is a critical component for the performance of the PEFCs and it is important to understand the nanostructure in the membrane to enhance proton transport. We have performed an atomistic analysis of the vehicular transport of hydronium ions and water molecules in the nanostructure of hydrated Nafion membrane by systematically changing the hydration level which provides insights into a
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Gavrea mazur, Iuliana. "QUALITY EVALUATION OF THE PRESCHOOL EDUCATION SYSTEM IN IASI." In eLSE 2016. Carol I National Defence University Publishing House, 2016. http://dx.doi.org/10.12753/2066-026x-16-094.

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Abstract:
The interest shown to the children of pre-school education increased due to the benefits which the students had by participating in the preschool education and they achieved the necessary abilities in school. The investments in good quality pre-school education had benefits on the long term because they contributed to the increase not only of the social inclusion and the employment of workforce, but also to the poverty reduction. The pre-school education systems within the European Union support investments in pre-school education programs offered to the children who come from disadvantaged en
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