Relevant bibliographies by topics / Graphyne networks

Academic literature on the topic 'Graphyne networks'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Graphyne networks"

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Yang, Yu Lin, Zhe Yong Fan, Ning Wei, and Yong Ping Zheng. "Mechanical Properties of Hydrogen Functionalized Graphyne - A Molecular Dynamics Investigation." Advanced Materials Research 472-475 (February 2012): 1813–17. http://dx.doi.org/10.4028/www.scientific.net/amr.472-475.1813.

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In this paper the mechanical properties of a series of hydrogen functionalized graphyne are investigated through acting tensile loads on the monolayer networks. Molecular dynamics simulations are performed to calculate the fracture strains and corresponding maximum forces for pristine graphyne along both armchair and zigzag directions. Furthermore, hydrogen functionalized graphynes with different functionalization sites are analyzed to investigate the effect of functionlization on the mechanical performance. Finally, Young's modulus of all the investigated architectures are computed. The obtained results show that monolayer graphyne is mechanically stable with high strength and stiffness, and the mechanical performance can be tuned through structure engineering and functionalization.
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Haley, Michael M. "Synthesis and properties of annulenic subunits of graphyne and graphdiyne nanoarchitectures." Pure and Applied Chemistry 80, no. 3 (January 1, 2008): 519–32. http://dx.doi.org/10.1351/pac200880030519.

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This report describes the synthetic strategies toward and optoelectronic properties of substructures of the non-natural, planar carbon networks graphyne and graphdiyne, which are based on the dehydrobenzo[12]annulene and dehydrobenzo[18]annulene framework, respectively.
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Chandra Shekar, Sarap, and Rotti Srinivasamurthy Swathi. "Molecular switching on graphyne and graphdiyne: Realizing functional carbon networks in synergy with graphene." Carbon 126 (January 2018): 489–99. http://dx.doi.org/10.1016/j.carbon.2017.10.049.

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Degabriele, Edera P., James N. Grima-Cornish, Daphne Attard, Roberto Caruana-Gauci, Ruben Gatt, Kenneth E. Evans, and Joseph N. Grima. "On the Mechanical Properties of Graphyne, Graphdiyne, and Other Poly(Phenylacetylene) Networks." physica status solidi (b) 254, no. 12 (November 27, 2017): 1700380. http://dx.doi.org/10.1002/pssb.201700380.

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Kehoe, Joshua M., James H. Kiley, Jamieson J. English, Charles A. Johnson, Ryan C. Petersen, and Michael M. Haley. "Carbon Networks Based on Dehydrobenzoannulenes. 3. Synthesis of Graphyne Substructures1." Organic Letters 2, no. 7 (April 2000): 969–72. http://dx.doi.org/10.1021/ol005623w.

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Yang, Zechao, Lukas Fromm, Tim Sander, Julian Gebhardt, Tobias A. Schaub, Andreas Görling, Milan Kivala, and Sabine Maier. "On‐Surface Assembly of Hydrogen‐ and Halogen‐Bonded Supramolecular Graphyne‐Like Networks." Angewandte Chemie 132, no. 24 (April 2020): 9636–42. http://dx.doi.org/10.1002/ange.201916708.

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Yang, Zechao, Lukas Fromm, Tim Sander, Julian Gebhardt, Tobias A. Schaub, Andreas Görling, Milan Kivala, and Sabine Maier. "On‐Surface Assembly of Hydrogen‐ and Halogen‐Bonded Supramolecular Graphyne‐Like Networks." Angewandte Chemie International Edition 59, no. 24 (April 2020): 9549–55. http://dx.doi.org/10.1002/anie.201916708.

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Kehoe, Joshua M., James H. Kiley, Jamieson J. English, Charles A. Johnson, Ryan C. Petersen, and Michael M. Haley. "ChemInform Abstract: Carbon Networks Based on Dehydrobenzoannulenes. Part 3. Synthesis of Graphyne Substructures." ChemInform 31, no. 27 (June 7, 2010): no. http://dx.doi.org/10.1002/chin.200027097.

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Johnson, Charles A., Yunyi Lu, and Michael M. Haley. "Carbon Networks Based on Benzocyclynes. 6. Synthesis of Graphyne Substructures via Directed Alkyne Metathesis§." Organic Letters 9, no. 19 (September 2007): 3725–28. http://dx.doi.org/10.1021/ol7014253.

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Yang, Zechao, Tim Sander, Julian Gebhardt, Tobias A. Schaub, Jörg Schönamsgruber, Himadri R. Soni, Andreas Görling, Milan Kivala, and Sabine Maier. "Metalated Graphyne-Based Networks as Two-Dimensional Materials: Crystallization, Topological Defects, Delocalized Electronic States, and Site-Specific Doping." ACS Nano 14, no. 12 (November 25, 2020): 16887–96. http://dx.doi.org/10.1021/acsnano.0c05865.

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Dissertations / Theses on the topic "Graphyne networks"

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Xu, Zhen. "On-surface synthesis of two-dimensional graphene nanoribbon networks." Kyoto University, 2020. http://hdl.handle.net/2433/254529.

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Garman, Paul Douglas. "Chemical Vapor Deposition of Silicon Oxycarbide Catalyzed Graphene Networks." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523898208600691.

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Ramli, Muhammad M. "Carbon nanotubes and graphene oxide networks for gas sensing." Thesis, University of Surrey, 2015. http://epubs.surrey.ac.uk/807845/.

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Nowadays, Carbon Nanotubes (CNTs) and Graphene Oxide (GO) have attracted enormous interest in various applications such as thin film transistors, chemical sensors, field emission devices and transparent conductive coatings. In this report, thin films of CNT and GO networks were fabricated as a two-terminal device for gas sensing applications. These devices were fabricated using vacuum filtration and drop casting methods at room temperature in order to get a thin and uniform film. The electrical measurement was conducted in order to investigate the film resistance as the solution concentration increased. The multi – walled carbon nanotubes (MWCNTs) solutions were acid treated by attaching carboxylic acid (-COOH) groups, in order to form a stable aqueous suspension with a neutral pH. The conductivity of the networks film was increased as the solution concentration increased where the sheet resistance at the highest concentration (0.125 mg/ml) was around 7.09 kΩ/sq. The single – walled carbon nanotubes (SWCNTs) suspension was produced using an organic dye in order to improve its solubility in water. Raman spectroscopy showed that no damage to the structure of SWCNTs was occurred. The GO suspension was produced by the chemical exfoliation of graphite through oxidation. The basal plane and edges of GO were decorated by oxygen functional groups, hence improving its solubility in water. To decrease the concentration of solutions, the solutions were diluted with methanol or water and various concentrations were achieved. The extreme sensitivity to changes in CNTs and GO local chemical environment makes them an ideal candidate for gas sensing application. The devices were tested by exposure to gasses such as NO2 and NH3. Results show a tremendous sensitivity towards NO2 and NH3 gasses. The sensitivities of the MWCNTs sensor device were ranging from 2 to 20 %. Whereas for the SWCNTs sensor device, the sensitivities were ranging from 20 to 50 %. For the GO sensor devices, the optimum sensitivity was achieved when the device was exposed at room temperature. The changes in resistance of the devices reflected the interaction mechanism that happened between exposure gasses (NO2 and NH3) and the materials.
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De, Marco Martina. "Hierarchical carbon nanotube and graphene oxide networks for multifunctional applications." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/47972.

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Assembling carbon nanomaterials (CNs) into networks and macrostructures is a potentially effective approach for the development of a wide array of technologies, including energy storage and production devices. CNs, such as carbon nanotubes (CNTs) and graphene (G), are characterised by impressive mechanical and electrical properties, however, these features are related to the high quality, individualised single carbon species.1, 2 Producing two/three-dimensional CN architectures presents several hurdles, mainly concerning the need to disassemble the pristine CN aggregates, the damages inflicted on the carbon framework during processing, and the consequent lack of mechanical strength and/or reduced electrical conductivity of the final material. Suitable methods for preparing CN (macro)structures retaining the extraordinary properties of the fundamental CN units, have yet to be fully developed. This Thesis addresses these issues by suggesting two different methodologies for the synthesis of CN networks, which are tailored to specific applications of the final structures. A novel cross-linking strategy of single-walled carbon nanotubes (SWCNTs) is developed, yielding highly connected, high surface area (> 750 m2 g-1) and electrically conductive (> 15 S m-1) cryogels. The cryogels are demonstrated to be effective electrodes within fully working electrochemical devices. In contrast to cross-linking strategies already explored in literature, the SWCNTs are individualised at high concentrations (up to 0.25 M), and cross-linked with p-diiodobenzene without shortening or damaging the carbon framework via a “reductive chemistry” route.3 Careful control of the absolute charge concentration in the system is found to be crucial for maximising the extent of debundling and grafting, with a suggested optimum at 15 mM. Optimised synthesis parameters in turn determine the accessible surface area and the conductive properties of the final freeze-dried cryogels. Multi-walled carbon nanotubes (MWCNTs) and graphene oxide (GO) hybrid networks are produced by a simple mixing approach, and used as supports for the CO2 adsorbents Layered Double Hydroxides (LDHs).4 Due to a strong synergistic interaction between the two CNs, hybrid GO/MWCNT systems significantly outperform the pure CNs as a support for LDHs, providing improved CO2 adsorption capacity and dramatically enhanced multicycle thermal stability (up to 96% of gas capacity retention after 20 cycles of adsorption-desorption). Detailed materials characterisation at several stages of the multicycle CO2 adsorption process, links the improved performance to the microstructure, showing that the hybrid GO/MWCNT substrate provides a superior surface area and LDH dispersion from the start, and resists sintering more effectively than either pure GO or pure MWCNTs. A systematic investigation of the relative proportions of the three-phase mixture (MWCNT/GO/LDH) consistently identifies a GO/MWCNT 1:1 ratio as the optimum for both surface area and sorbent performance, particularly when added in small amount (10 - 20%) to LDHs.
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Iqbal, Muhammad Zahir. "Structural and electrical characterization of doped graphene and carbon nanotube networks." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/277570.

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Graphene, a two-dimensional sp2-hybridized network of carbon atoms has received a remarkable cornucopia of new physics and served as a unique model system, due particularly to its electronic properties, which could have interesting applications in electronic, spintronic or quantum devices. The first part of the thesis describes the modulation of graphene¿s structural and electrical properties with various kinds of doping; such as deep ultraviolet irradiation in ambient atmosphere, deep ultraviolet light irradiation in different gaseous environments, and electron beam irradiation. We have fabricated graphene (exfoliated and chemical vapor deposition grown graphene) field effect transistors using photolithography and electron beam lithography and characterized with AFM, Raman spectroscopy and transport measurement using low noise standard lock-in amplifier technique. We have explored how the ultraviolet light exposure tunes the electrical properties of graphene in an ambient atmosphere, confirmed by the shift of Dirac point position towards positive gate voltage, revealing p-type doping for graphene without degradation of mobility. We found that the doping is stable for a time scale of months. This method became more useful when half the graphene device was exposed by ultraviolet light, while the other half part was covered by a mask to make a sharp p-n junction. The doping effect became more prominent and controllable when it was made in an oxygen environment. The most interesting phenomena were observed when doped graphene was restored to a pristine state using ultraviolet light irradiation in a nitrogen environment. Furthermore, we have investigated the doping tunability with ultraviolet light irradiation on mechanically exfoliated single-, bi-, and trilayer graphenes without significantly degrading its charge carrier mobility. In a further study, the structural deformation of graphene was investigated by irradiation of an electron beam. The graphene structure changes its phase in various stages, where graphene transforms gradually from a crystalline to a nanocrystalline form and after a certain irradiation time into an amorphous form. This irradiation effect acts as an n-type dopant for graphene. In this case, mobility decreases with the gradual increase of irradiation dose, which implies the formation of localized states. The second part of the thesis describes carbon nanotube networks as flexible and transparent electrodes for electronic devices, particularly for high frequency applications. The observed results show that at low frequencies, the impedance increases as the density of nanotube networks decreases, as expected. Both the real and imaginary parts of impedance (measured up to 20 GHz) abruptly decrease as the frequency increases over the cut-off frequency. The cut-off frequency not only depends on the carbon nanotube density of the network, but also on the sample geometry. The Nyquist diagram suggests a simple equivalent circuit composed of a parallel combination of a resistor and a capacitor. The experimental results are in line with calculations made by electrochemical spectroscopy simulations. The results show that the electrical behavior is mostly determined by the contact resistance between the nanotubes, which are in a completely disordered distribution in the network. We show that carbon nanotube flexible conducting films, which may be transparent, could be competitive for some applications, such as displays, photovoltaic solar cells or selective sensors.
El grafè, considerat com una xarxa bidimensional d’àtoms de carboni units per enllaços híbrids sp2, és un tema de recerca molt prolífer en els últims anys, com a model de sòlid bidimensional, i molt particularment degut a les seves propietats electròniques, que poden tenir aplicacions interessants en dispositius electrònics, spintrònics o quàntics. La primera part de la Tesi descriu la modificació de les propietats estructurals i elèctriques del grafè utilitzant diferents mètodes per a dopar-lo: radiació ultraviolada d’alta energia (DUV) en atmosfera ambient, DUV en diferents gasos tals com oxigen o nitrogen, o irradiant amb un feix d’electrons (e-beam). Hem fabricat transistors d’efecte de camp (FET) amb grafè (exfoliat a partir del grafit, o bé obtingut per deposició química en fase vapor, CVD) utilitzant fotolitografia i e-beam litografia, i els hem caracteritzat mitjançant AFM, espectroscòpia Raman i mesures de transport elèctric, per a les que hem utilitzat la tècnica d’amplificació de baix soroll, el lock-in. Hem investigat com l’exposició a la llum ultraviolada en atmosfera ambient, modula les propietats elèctriques del grafè, de manera que la posició del punt de Dirac es desplaça cap a tensions de porta positives, cosa que implica dopatge de tipus-p, sense que hi hagi degradació de la mobilitat. El dopatge és estable al menys durant mesos. Amb el mateix mètode, quan només la meitat del dispositiu és exposat a la radiació ultraviolada mentre l’altre meitat és recobert per una màscara metàl·lica, hem obtingut una unió p-n. L’efecte de dopatge és més important i controlable, quan és fet en atmosfera d’oxigen. L’efecte més interessant que hem observat és la reversibilitat, quan el grafè dopat retorna al seu estat primitiu, en ser irradiat amb llum ultraviolada en atmosfera de nitrogen. També hem investigat el dopatge amb llum ultraviolada del grafè exfoliat mecànicament, de una, dues o tres capes, observant que es produeix sense una degradació significativa de la mobilitat dels portadors de càrrega. Posteriorment hem estudiat la deformació estructural del grafè quan és irradiat amb un feix d’electrons. Hem observat canvis estructurals en diferents etapes: el grafè evoluciona gradualment, a partir de la forma cristal·lina, cap a una fase d’estructura nanocristal·lina i finalment, després d’una certa dosi de irradiació, presenta una estructura amorfa. L’efecte d’ irradiar el grafè amb electrons actua com a dopant tipus-n, però en aquest cas la mobilitat decreix en incrementar la dosi, això implica que hi ha formació d’estats localitzats. La segona part de la Tesi tracta de capes primes de nanotubs de carboni, com a elèctrodes flexibles i transparents per a dispositius electrònics, en particular per aplicacions d’alta freqüència. Els resultats obtinguts mostren que, a baixes freqüències, la impedància augmenta en disminuir la densitat de nanotubs, tal com cal esperar. Tan la part real com la part imaginària de la impedància (mesurada fins a 20 GHz) decreixen abruptament en augmentar la freqüència més enllà de la freqüència de tall. La freqüència de tall no depèn únicament de la densitat de nanotubs en la capa, sinó també de la geometria de la mostra. El diagrama de Nyquist es pot interpretar amb un circuit equivalent consistent simplement en una resistència i un condensador en paral·lel. Els resultats experimentals s’ajusten bé a les simulacions fetes per espectroscòpia d’impedàncies (EIS). Els resultats posen en evidència que el comportament elèctric queda majoritàriament determinat per la resistència de contacte entre els nanotubs, que formen la xarxa amb una distribució totalment desordenada. Hem vist que capes primes de nanotubs de carboni conductores i flexibles, que poden ser també transparents, poden ser competitives en diferents aplicacions, com ara pantalles, cel·les solars fotovoltaiques o sensors selectius
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MARTIN, JIMENEZ CRISTINA. "Nuovi materiali compositi basati su grafene." Doctoral thesis, Università degli Studi di Trieste, 2016. http://hdl.handle.net/11368/2908013.

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The number of possibilities and, hence, examples of composite materials, is huge and varied and depend on the nature of the matrix. However, the evolution of polymers since the beginning of the 19th Century has led to a boost in research on that field, in which the latest advances have provided numerous advantages in nanomedicine, for instance. As a matter of fact, in recent years composites have been made from materials in which the size of at least one of the phases is in the nanometer scale, also called nanomaterials. Among all of them, graphene has unique properties owing to its sp2 hybridised carbon atoms arranged in a 2D honeycomb lattice. Therefore, the incorporation of graphene into polymeric materials offers new options regarding the use of these eventual composites in a wider range of fields (from sensors to biological applications). In this context, the aim of this thesis is the design of new graphene-based composites to be used in several applications regarding the design and the specific features of the final prepared materials. Chapter 1 provides a revision of composite materials, primarily describing important concepts for the understanding of this thesis such as hydrogels, interpenetrating polymer networks (IPNs), and, undoubtedly, graphene; and digging down to more specific literature examples mainly based on this fascinating nanomaterial. In Chapter 2, new composite hydrogels with an autonomous self-healing capacity are described. Semi-IPNs of poly (methacrylic acid) (pMAAc) and poly (vinyl alcohol) are primarily studied. The materials are firstly synthesised and characterised in the presence or absence of graphene, and their healing abilities are subsequently analysed. They show not only an electromechanical behaviour, but also an almost complete auto-reparation after being damaged. Interestingly, graphene does not limit any of the studied properties. The second type of materials were prepared from the MAAc in combination with [2-(acryloyloxy)ethyl]trimethylammonium chloride. The repairing capacity is studied depending on the way in which the material is prepared, and also depending on the presence or not of graphene. In this case, the self-healing is based on ionic interactions. All the materials have demonstrated good repairing ability, even with graphene. Chapter 3 details the synthesis, characterization and different applications of graphene-based composite hydrogels using acrylamide as the main monomer. The composites show excellent mechanical properties, and they are even proved successfully as 3D scaffolds for cell culture, being possible nucleus pulposus replacements for intervertebral disc diseases. De de-swelling behaviour under an external stimulus is also demonstrated, making these composites applicable as probable on-demand drug delivery systems. Finally, a piezoresistive effect is detailed in this chapter due to the presence of graphene into the hydrogel network, obtaining excellent gauge factor values because of the change in the resistivity of the material depending on whether it is being stretched or not. That fact pares the way for the use of our systems as strain sensors. Finally, in Chapter 4, the creation of novel nanostructured systems for neural network regeneration are presented. Firstly, the graphene addition on 2D substrates previously coated with single-wall carbon nanotubes does not show a notable enhancement in the neuron activity, obtaining, for instance, similar values for membrane capacitance with respect to the substrate only coated with the carbon nanotubes. In a second approach, neuron activity is studied in a graphene-based 3D scaffold. The most important fact observed in this study is that neurons are only visualised in the graphene-based hydrogel, but not in the one without nanomaterial, confirming that graphene is taking an important role in the neuronal network.
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Yarmolenko, O. V., S. A. Baskakov, Y. M. Shulga, P. I. Vengrus, and O. N. Efimov. "Supercapacitors Based on Composite Polyaniline / Reduced Graphene Oxide with Network Nanocomposite Polymer Electrolyte." Thesis, Sumy State University, 2013. http://essuir.sumdu.edu.ua/handle/123456789/35510.

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The paper describes investigation on new types of supercapacitors based on composite polyani-line/reduced graphene oxide with network nanocomposite polymer electrolyte. Its prototypes are all solid state. The new network polymer electrolytes based on polyethylene glycol diacrylate and nanoparticle SiO2 was synthesized by reaction of radical polymerization in the environment of liquid organic electrolyte. The work is aimed to obtain a polymer electrolyte that is compatible with the electrode materials of superca-pacitors. For these purposes the method of FTIR spectroscopy, a.c. electrochemical impedance and gal-vanostatic cycling were used. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/35510
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Bloess, Mark. "Harnessing Social Networks for Social Awareness via Mobile Face Recognition." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/23792.

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With more and more images being uploaded to social networks each day, the resources for identifying a large portion of the world are available. However the tools to harness and utilize this information are not sufficient. This thesis presents a system, called PhacePhinder, which can build a face database from a social network and have it accessible from mobile devices. Through combining existing technologies, this is made possible. It also makes use of a fusion probabilistic latent semantic analysis to determine strong connections between users and content. Using this information we can determine the most meaningful social connection to a recognized person, allowing us to inform the user of how they know the person being recognized. We conduct a series of offline and user tests to verify our results and compare them to existing algorithms. We show, that through combining a user’s friendship information as well as picture occurrence information, we can make stronger recommendations than based on friendship alone. We demonstrate a working prototype that can identify a face from a picture taken from a mobile phone, using a database derived from images gathered directly from a social network, and return a meaningful social connection to the recognized face.
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EL, MERHIE AMIRA. "Single Layer Graphene Biointerface: Studying Neuronal Network Development and Monitoring Cell Behavior over Time." Doctoral thesis, Università degli studi di Genova, 2019. http://hdl.handle.net/11567/939896.

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The objective of my Ph.D. thesis is the investigation of the role of Single Layer Graphene (SLG) as a biointerface for its possible future exploitation in various biomedical applications; in particular for the development of biosensors, substrates for regenerative medicine, interfacing platforms for better recording of electrophysiological activity of neuronal networks, among others. This Ph.D. project is multidisciplinary involving both the material transfer and characterization part from one side and the biological part from another side. The material part offers an in-depth explanation of SLG synthesis, transfer, characterization and functionalization while the biological section sheds light on the studies performed for investigation of the behavior of different types of cell lines on SLG substrates. For better understanding of the sequence of the performed work, I have divided this thesis into separate chapters. In the beginning and end of every chapter, I added an introduction and conclusions related to it. Chapter 1 acts as a general introduction to graphene and graphene-related materials where a detailed explanation on the evolution of those materials as a cell interface is provided leading to the introduction of SLG in the end of this chapter along with its production process. Chapter 2 is oriented on the surface characterization of SLG substrates; in this chapter, I described the SLG transfer method, creation of the micrometric ablated geometric patterns on the transferred substrates using excimer laser micromachining, a technique developed in our lab, then further functionalization of the substrates and finally all the techniques employed for their physicochemical characterization. Chapter 3 is dedicated to the biological part of the project; i.e. studying the behavior of different cell lines on the SLG substrates. In this chapter, I have described and explained the interest of using the selected cell lines and the experiments that were performed on them. Chapter 4 has been devoted to a complete and separate project that I performed in collaboration with the Neuroscience and Brain Technologies department. The main focus of the project was the functionalization of the commercial multi-electrode arrays (MEAs) with SLG and studying the neuronal network activity on them throughout the complete network development. Although the main focus of my Ph.D. project was studying SLG biointerface, I have also been involved in side projects, among which, studying the neuronal-like response of mouse neuroblastoma (N2a) living cells to nanoporous patterns of thin supported anodic alumina which I have described in Appendix A, and studying the surface potential of graphene by polyelectrolyte coating which I have presented in Appendix B. To summarize, this thesis reports an original investigation, since, to the best of our knowledge, there is no report yet about the study of the effect of SLG functionalized MEA on the neuronal network activity throughout the complete network maturation. Furthermore, proliferation curves of different cell lines on SLG versus control substrates have been presented; in addition to physicochemical characterization of ablated and functionalized SLG substrates as means of possible explanation of a certain cellular behavior on graphene.
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Ren, Haolin. "Visualizing media with interactive multiplex networks." Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0036/document.

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Les flux d’information suivent aujourd’hui des chemins complexes: la propagation des informations, impliquant éditeurs on-line, chaînes d’information en continu et réseaux sociaux, emprunte alors des chemins croisés, susceptibles d’agir sur le contenu et sa perception. Ce projet de thèse étudie l’adaptation des mesures de graphes classiques aux graphes multiplexes en relation avec le domaine étudié, propose de construire des visualisations à partir de plusieurs représentations graphiques des réseaux, et de les combiner (visualisations multi-vues synchronisées, représentations hybrides, etc.). L’accent est mis sur les modes d’interaction permettant de prendre en compte l’aspect multiplexe (multicouche) des réseaux. Ces représentations et manipulations interactives s’appuient aussi sur le calcul d’indicateurs propres aux réseaux multiplexes. Ce travail est basé sur deux jeux de données principaux: l’un est une archive de 12 ans de l’émission japonaise publique quotidienne NHK News 7, de 2001 à 2013. L’autre recense les participants aux émissions de télévision/radio françaises entre 2010 et 2015. Deux systèmes de visualisation s’appuyant sur une interface Web ont été développés pour analyser des réseaux multiplexes, que nous appelons «Visual Cloud» et «Laputa». Dans le Visual Cloud, nous définissons formellement une notion de similitude entre les concepts et les groupes de concepts que nous nommons possibilité de co-occurrence (CP). Conformément à cette définition, nous proposons un algorithme de classification hiérarchique. Nous regroupons les couches dans le réseau multiplexe de documents, et intégrons cette hiérarchie dans un nuage de mots interactif. Nous améliorons les algorithmes traditionnels de disposition de mise en forme de nuages de mots de sorte à préserver les contraintes sur la hiérarchie de concepts. Le système Laputa est destiné à l’analyse complexe de réseaux temporels denses et multidimensionnels. Pour ce faire, il associe un graphe à une segmentation. La segmentation par communauté, par attribut, ou encore par tranche temporelle, forme des vues de ce graphe. Afin d’associer ces vues avec le tout global, nous utilisons des diagrammes de Sankey pour révéler l’évolution des communautés (diagrammes que nous avons augmentés avec un zoom sémantique). Cette thèse nous permet ainsi de parcourir trois aspects (3V) des plus intéressants de la donnée et du BigData appliqués aux archives multimédia: Le Volume de nos données dans l’immensité des archives, nous atteignons des ordres de grandeurs qui ne sont pas praticables pour la visualisation et l’exploitation des liens. La Vélocité à cause de la nature temporelle de nos données (par définition). La Variété qui est un corollaire de la richesse des données multimédia et de tout ce que l’on peut souhaiter vouloir y investiguer. Ce que l’on peut retenir de cette thèse c’est que la traduction de ces trois défis a pris dans tous les cas une réponse sous la forme d’une analyse de réseaux multiplexes. Nous retrouvons toujours ces structures au coeur de notre travail, que ce soit de manière plus discrète dans les critères pour filtrer les arêtes par l’algorithme Simmelian backbone, que ce soit par la superposition de tranches temporelles, ou bien que ce soit beaucoup plus directement dans la combinaison d’indices sémantiques visuels et textuels pour laquelle nous extrayons les hiérarchies permettant notre visualisation
Nowadays, information follows complex paths: information propagation involving on-line editors, 24-hour news providers and social medias following entangled paths acting on information content and perception. This thesis studies the adaptation of classical graph measurements to multiplex graphs, to build visualizations from several graphical representations of the networks, and to combine them (synchronized multi-view visualizations, hybrid representations, etc.). Emphasis is placed on the modes of interaction allowing to take in hand the multiplex nature (multilayer) of the networks. These representations and interactive manipulations are also based on the calculation of indicators specific to multiplex networks. The work is based on two main datasets: one is a 12-year archive of the Japanese public daily broadcast NHK News 7, from 2001 to 2013. Another lists the participants in the French TV/radio shows between 2010 and 2015. Two visualization systems based on a Web interface have been developed for multiplex network analysis, which we call "Visual Cloud" and "Laputa". In the Visual Cloud, we formally define a notion of similarity between concepts and groups of concepts that we call co-occurrence possibility (CP). According to this definition, we propose a hierarchical classification algorithm. We aggregate the layers in a multiplex network of documents, and integrate that hierarchy into an interactive word cloud. Here we improve the traditional word cloud layout algorithms so as to preserve the constraints on the concept hierarchy. The Laputa system is intended for the complex analysis of dense and multidimensional temporal networks. To do this, it associates a graph with a segmentation. The segmentation by communities, by attributes, or by time slices, forms views of this graph. In order to associate these views with the global whole, we use Sankey diagrams to reveal the evolution of the communities (diagrams that we have increased with a semantic zoom). This thesis allows us to browse three aspects of the most interesting aspects of the data miming and BigData applied to multimedia archives: The Volume since our archives are immense and reach orders of magnitude that are usually not practicable for the visualization; Velocity, because of the temporal nature of our data (by definition). The Variety that is a corollary of the richness of multimedia data and of all that one may wish to want to investigate. What we can retain from this thesis is that we met each of these three challenges by taking an answer in the form of a multiplex network analysis. These structures are always at the heart of our work, whether in the criteria for filtering edges using the Simmelian backbone algorithm, or in the superposition of time slices in the complex networks, or much more directly in the combinations of visual and textual semantic indices for which we extract hierarchies allowing our visualization
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Books on the topic "Graphyne networks"

1

A Graphon-based Framework for Modeling Large Networks. [New York, N.Y.?]: [publisher not identified], 2015.

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Toward Growth-Accommodating Polymeric Heart Valves with Graphene-Network Reinforcement. [New York, N.Y.?]: [publisher not identified], 2021.

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Chao, Dongliang. Graphene Network Scaffolded Flexible Electrodes—From Lithium to Sodium Ion Batteries. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3080-3.

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Walker, James L. Back propagation neural networks for predicting ultimate strengths of unidirectional graphite/epoxy tensile specimens. [Washington, DC: National Aeronautics and Space Administration, 1993.

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Gaier, James R. Effect of length of chopped pristine and intercalated graphite fibers on the resistivity of fiber networks. Cleveland, Ohio: Lewis Research Center, NASA, 1988.

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L, Walker James, and United States. National Aeronautics and Space Administration., eds. A neural network/acoustic emission analysis of impact damaged graphite/epoxy pressure vessels. [Washington, DC: National Aeronautics and Space Administration, 1995.

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Chao, Dongliang. Graphene Network Scaffolded Flexible Electrodes―From Lithium to Sodium Ion Batteries. Springer, 2018.

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Oshiyama, Atsushi, and Susumu Okada. Roles of shape and space in electronic properties of carbon nanomaterials. Edited by A. V. Narlikar and Y. Y. Fu. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533053.013.3.

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This article examines how internal space and boundary shapes affect the electronic properties of carbon nanomaterials by conducting total-energy electronic-structure calculations based on the density-functional theory. It first considers the existence of nanospace in carbon peapods before discussing boundaries in planar and tubular nanostructures. It also describes double-walled nanotubes, defects in carbon nanotubes, and hybrid structures of carbon nanotubes. Finally, it discusses the magnetic properties of zigzag-edged graphene ribbons and carbon nanotubes as well as the essential role of the edge state. The article shows that both space and peas (fullerenes) are decisive in electronic properties. In carbon peapods, nearly free-electron states occurring in the internal space hybridize with carbon orbitals and then make the peapod a new multicarrier system. The edge state belongs to a new class of electron states that is inherent to zigzag borders in hexagonally bonded networks.
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Matroid Theory and Its Applications in Electric Network Theory and Statics (Algorithms and Combinatorics). Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 1989.

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Nanobiosensors for Personalized and Onsite Biomedical Diagnosis. Institution of Engineering & Technology, 2016.

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Book chapters on the topic "Graphyne networks"

1

Dey, Ramendra Sundar, and Qijin Chi. "Architecture and Applications of Functional Three-Dimensional Graphene Networks." In Graphene Materials, 67–99. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119131816.ch3.

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Możaryn, Jakub. "NARX Recurrent Neural Network Model of the Graphene-Based Electronic Skin Sensors with Hysteretic Behaviour." In Digital Interaction and Machine Intelligence, 233–41. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37649-8_23.

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AbstractThe electronic skin described in the article comprises screen-printed graphene-based sensors, intended to be used for robotic applications. The precise mathematical model allowing the touch pressure estimation is required during its calibration. The article describes the recurrent neural network model for graphene-based electronic skin calibration, in which parameters are not homogeneous, and the touch force characteristics have visible hysteretic behaviour. The presented method provides a simple alternative to the models known in the literature.
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Vardanyan, V. H., and H. M. Urbassek. "Insight into Indentation Processes of Ni-Graphene Nanocomposites by Molecular Dynamics Simulation." In Proceedings of the 3rd Conference on Physical Modeling for Virtual Manufacturing Systems and Processes, 51–69. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35779-4_4.

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AbstractMolecular dynamics simulations provide insight into the processes underlying material plasticity and hard-ness. We demonstrate its uses here for the special case of a metal-matrix nanocomposite, viz. Ni-graphene. A series of increasingly more complex simulation scenarios is established, starting from a single-crystalline matrix over bi-crystal samples to fully polycrystalline arrangements. We find that the nanocomposite is weaker than the single-crystalline metal, since the graphene flakes are opaque to dislocation transmission and thus constrain the size of the dislocation network produced by the indenter. However, the flakes increase the hardness of a polycrystalline metal matrix. This is caused by dislocation pile-up in front of the flakes as well as dislocation absorption (annihilation) by the graphene flakes.
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Praticò, Filippo Giammaria, Eliana Zappia, and Giuseppe Colicchio. "Impact of Graphene-Based Additives on Bituminous Mixtures: A Preliminary Assessment." In Lecture Notes in Networks and Systems, 2289–98. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06825-6_220.

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Wolters, Maria. "A dual route neural net approach to grapheme-to-phoneme conversion." In Artificial Neural Networks — ICANN 96, 233–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61510-5_42.

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Lima Filho, Diogo F., and José R. Amazonas. "An Approach of Node Model TCnNet: Trellis Coded Nanonetworks on Graphene Composite Substrate." In Lecture Notes in Networks and Systems, 850–59. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18461-1_56.

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Vashi, Ronak, Trushit Upadhyaya, Arpan Desai, and Riki Patel. "Dual-Band Graphene Based Planar Antenna for WLAN Communication Applications." In Second International Conference on Computer Networks and Communication Technologies, 827–33. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37051-0_92.

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Barbin, Nikolay, Anton Kobelev, Vladimir Lugovkin, Dmitrij Terent’ev, and Stanislav Titiov. "Modeling of Process of Radioactive Graphite Processing in Gas-Generating Installation." In Lecture Notes in Networks and Systems, 170–80. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97730-6_15.

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Simonovsky, Martin, and Nikos Komodakis. "GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders." In Artificial Neural Networks and Machine Learning – ICANN 2018, 412–22. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01418-6_41.

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Najim, Abdelhafid, Omar Bajjou, Mustapha Boulghallat, Khalid Rahmani, Mohammed Khenfouch, Lhouceine Moulaoui, Younes Chrafih, and Mohamed Al-Hattab. "Density Functional Theory Study on the Electronic and Optical Properties of Graphene, Single-Walled Carbon Nanotube and C60." In Lecture Notes in Networks and Systems, 17–25. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12416-7_2.

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Conference papers on the topic "Graphyne networks"

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Hidayah, N. M. S., Wei-Wen Liu, Chin-Wei Lai, N. Z. Noriman, Cheng-Seong Khe, U. Hashim, and H. Cheun Lee. "Comparison on graphite, graphene oxide and reduced graphene oxide: Synthesis and characterization." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF GLOBAL NETWORK FOR INNOVATIVE TECHNOLOGY AND AWAM INTERNATIONAL CONFERENCE IN CIVIL ENGINEERING (IGNITE-AICCE’17): Sustainable Technology And Practice For Infrastructure and Community Resilience. Author(s), 2017. http://dx.doi.org/10.1063/1.5005764.

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Zhai, Tingting, Binbin Wang, Kuan-Ting Wu, Jinbong Seok, Sera Kim, Wei-Yen Woon, Remi Vincent, Heejun Yang, and Rafael Salas-Montiel. "Subwavelength plasmonic-enhanced graphene-hBN-graphene silicon modulator." In Integrated Photonics Research, Silicon and Nanophotonics. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/iprsn.2022.iw4b.1.

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We demonstrate a high-performance subwavelength scale plasmonic enhanced graphene/hexagonal boron nitride/graphene-based silicon electro-optic modulator, enabling low energy consumption for applications in communications, nonlinear photonics, and photonic neuromorphic networks.
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Grande, M., M. A. Vincenti, T. Stomeo, G. V. Bianco, D. de Ceglia, G. Magno, V. Petruzzelli, et al. "Graphene assisted nanostructures." In 2013 15th International Conference on Transparent Optical Networks (ICTON). IEEE, 2013. http://dx.doi.org/10.1109/icton.2013.6602959.

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Shishir, Md Imrul Reza, Mohan Surya Raja Elapolu, and Alireza Tabarraei. "A Deep Convolutional Neural Network-Based Method to Predict Accurate Fracture Strength of Poly-Crystalline Graphene." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-70580.

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Abstract A data-driven deep convolution neural network model is used to predict the fracture properties of polycrystalline graphene from the atomic resolution image. A large dataset is prepared using molecular dynamic simulations and atomic resolution image of polycrystalline graphene. The results show that our model after training can predict the fracture properties of polycrystalline graphene with high accuracy.
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Grande, M., M. A. Vincenti, T. Stomeo, G. V. Bianco, D. de Ceglia, N. Akozbek, V. Petruzzelli, et al. "Graphene-based optical absorbers." In 2015 17th International Conference on Transparent Optical Networks (ICTON). IEEE, 2015. http://dx.doi.org/10.1109/icton.2015.7193344.

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Strek, W., R. Tomala, L. Marciniak, M. Lukaszewicz, Y. Gerasymchuk, A. Lukowiak, and D. Hreniak. "Graphene for white lighting." In 2016 18th International Conference on Transparent Optical Networks (ICTON). IEEE, 2016. http://dx.doi.org/10.1109/icton.2016.7550393.

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Shi, Jingjing, Yalin Dong, Timothy Fisher, and Xiulin Ruan. "A Network Model for the Thermal Conductivity of Pillared-Graphene Architectures." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-40170.

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Carbon nanotubes and graphene are promising for thermal management applications due to their high thermal conductivities. However, their thermal properties are anisotropic and the radial or out-of-plane thermal conductivity is low. A graphene-CNT 3D structure has previously been proposed to overcome such limitation, and direct molecular dynamics simulations have been used to predict its thermal conductivity. In this work, by recognizing that the thermal resistance comes primarily from CNT-graphene junctions, we have proposed a simple network model of thermal transport in pillared graphene structures. Using non-equilibrium molecular dynamics, the resistance across an individual CNT-graphene junction is found to be around 6 × 10−11 m2 K/W, which is significantly lower than the typical values reported in literature for planar interfaces between dissimilar materials. The size-dependence of the CNT-graphene junction resistance is also explored in our work. The CNT pillar length between two graphene sheets is found to be an important parameter affecting the junction resistance, which decreases as the pillar length decreases. We explain this behavior by calculating the local phonon density of states near the junction. The junction resistance is then used in the network model to obtain the thermal conductivity, and the results agree well with the direct MD simulation data, demonstrating the effectiveness of our model.
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Llatser, Ignacio, Sergi Abadal, Albert Mestres Sugranes, Albert Cabellos-Aparicio, and Eduard Alarcon. "Graphene-enabled Wireless Networks-on-Chip." In 2013 First International Black Sea Conference on Communications and Networking (BlackSeaCom). IEEE, 2013. http://dx.doi.org/10.1109/blackseacom.2013.6623383.

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De La Rue, R. M., H. Ahmad, S. Wadi Harun, W. Chong, Y. K. Yap, C. H. Pua, M. Z. Zulkifli, et al. "Graphene nano-, micro- and macro-photonics." In 2012 14th International Conference on Transparent Optical Networks (ICTON). IEEE, 2012. http://dx.doi.org/10.1109/icton.2012.6253944.

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Couris, S., and N. Liaros. "Nonlinear optical response of graphene derivatives." In 2014 16th International Conference on Transparent Optical Networks (ICTON). IEEE, 2014. http://dx.doi.org/10.1109/icton.2014.6876558.

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Reports on the topic "Graphyne networks"

1

Santoyo, C., M. R. Ceron, and M. M. Biener. Integration of Fullerenes as Electron-Acceptors in 3D Graphene Networks. Office of Scientific and Technical Information (OSTI), August 2019. http://dx.doi.org/10.2172/1567989.

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