Academic literature on the topic 'Nanowire networks'

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Journal articles on the topic "Nanowire networks"

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Pereira, Alejandro, Guidobeth Sáez, Eduardo Saavedra, and Juan Escrig. "Tunable Magnetic Properties of Interconnected Permalloy Nanowire Networks." Nanomaterials 13, no. 13 (2023): 1971. http://dx.doi.org/10.3390/nano13131971.

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In this study, we investigate the magnetic properties of interconnected permalloy nanowire networks using micromagnetic simulations. The effects of interconnectivity on the hysteresis curves, coercivity, and remanence of the nanowire networks are analyzed. Our results reveal intriguing characteristics of the hysteresis curves, including nonmonotonic behaviors of coercivity as a function of the position of horizontal nanowires relative to vertical nanowires. By introducing horizontal nanowires at specific positions, the coercivity of the nanowire networks can be enhanced without altering the ma
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Yang, Dae-Jin, Seyun Kim, Hiesang Sohn, et al. "Effect of Flash Light Sintering on Silver Nanowire Electrode Networks." Materials 13, no. 2 (2020): 404. http://dx.doi.org/10.3390/ma13020404.

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We investigated the flash light sintering process to effectively reduce electrical resistance in silver nanowire networks. The optimum condition of the flash light sintering process reduces the electrical resistance by ~20%, while the effect of the conventional thermal annealing processes is rather limited for silver nanowire networks. After flash light sintering, the morphology of the junction between the silver nanowires changes to a mixed-phase structure of the two individual nanowires. This facile and fast process for silver nanowire welding could be highly advantageous to the mass product
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Vaddiraju, Sreeram, Jitendra Choudhary, Niraj Ashutosh Vidwans, and Bhupesh Pydiraju Yanda. "Controlled Assembly of Nanowires into Welded Nanowire Networks for Memristor Device Fabrication." ECS Meeting Abstracts MA2024-01, no. 57 (2024): 2994. http://dx.doi.org/10.1149/ma2024-01572994mtgabs.

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Next-generation electronic devices are essential for neuromorphic computing (or brain-inspired computing), which is essential for the high-speed processing of big data using artificial intelligence tools.(1) Memristors, an important constituent of these next-generation electronic devices, have been fabricated using many forms of metal oxides, including nanowires. Nanowires forms of oxides, although reduce the complexity of the memristive device fabrication process, need many technological advances for their widespread use in memristor fabrication.(1) For instance, the cyclability of devices ne
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Tarasevich, Yuri Yu, Andrei V. Eserkepov, and Irina V. Vodolazskaya. "Random 2D nanowire networks: Finite-size effect and the effect of busbar/nanowire contact resistance on their electrical conductivity." Journal of Applied Physics 132, no. 12 (2022): 125105. http://dx.doi.org/10.1063/5.0110523.

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We have studied the resistance of two-dimensional random percolating networks of zero-width metallic nanowires (rings or sticks). We took into account the nanowire resistance per unit length, the junction (nanowire/nanowire contact) resistance, and the busbar/nanowire contact resistance. Using a mean-field approximation (MFA), we derived the total resistance of the nanoring-based networks as a function of their geometrical and physical parameters. We have proposed a way of accounting for the contribution of the busbar/nanowire contact resistance toward the network resistance. The MFA predictio
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da Câmara Santa Clara Gomes, Tristan, Nicolas Marchal, Flavio Abreu Araujo, and Luc Piraux. "Spin Caloritronics in 3D Interconnected Nanowire Networks." Nanomaterials 10, no. 11 (2020): 2092. http://dx.doi.org/10.3390/nano10112092.

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Recently, interconnected nanowire networks have been found suitable as flexible macroscopic spin caloritronic devices. The 3D nanowire networks are fabricated by direct electrodeposition in track-etched polymer templates with crossed nano-channels. This technique allows the fabrication of crossed nanowires consisting of both homogeneous ferromagnetic metals and multilayer stack with successive layers of ferromagnetic and non-magnetic metals, with controlled morphology and material composition. The networks exhibit extremely high, magnetically modulated thermoelectric power factors. Moreover, l
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Movsesyan, Liana, Albert Maijenburg, Noel Goethals, et al. "ZnO Nanowire Networks as Photoanode Model Systems for Photoelectrochemical Applications." Nanomaterials 8, no. 9 (2018): 693. http://dx.doi.org/10.3390/nano8090693.

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In this work, the fabrication of zinc oxide (ZnO) nanowire networks is presented. By combining ion-track technology, electrochemical deposition, and atomic layer deposition, hierarchical and self-supporting three-dimensional (3D) networks of pure ZnO- and TiO2-coated ZnO nanowires were synthesized. Analysis by means of high-resolution transmission electron microscopy revealed a highly crystalline structure of the electrodeposited ZnO wires and the anatase phase of the TiO2 coating. In photoelectrochemical measurements, the ZnO and ZnO/TiO2 nanowire networks, used as anodes, generated higher ph
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Dunham, Christopher S., Sam Lilak, Joel Hochstetter, et al. "Nanoscale neuromorphic networks and criticality: a perspective." Journal of Physics: Complexity 2, no. 4 (2021): 042001. http://dx.doi.org/10.1088/2632-072x/ac3ad3.

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Abstract Numerous studies suggest critical dynamics may play a role in information processing and task performance in biological systems. However, studying critical dynamics in these systems can be challenging due to many confounding biological variables that limit access to the physical processes underpinning critical dynamics. Here we offer a perspective on the use of abiotic, neuromorphic nanowire networks as a means to investigate critical dynamics in complex adaptive systems. Neuromorphic nanowire networks are composed of metallic nanowires and possess metal-insulator-metal junctions. The
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Daniels, Ryan K., and Simon A. Brown. "Nanowire networks: how does small-world character evolve with dimensionality?" Nanoscale Horizons 6, no. 6 (2021): 482–88. http://dx.doi.org/10.1039/d0nh00693a.

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We show here that the connectivity of simulated quasi-3D networks of nanowires is significantly different to that of perfectly 2D networks, a result which may have important implications for applications of nanowire networks.
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Son, Kwang-Soo, Dong Hyun Lee, Jae-Woong Choung, et al. "Catalyst-free synthesis and cathodoluminescent properties of ZnO nanobranches on Si nanowire backbones." Journal of Materials Research 23, no. 12 (2008): 3403–8. http://dx.doi.org/10.1557/jmr.2008.0400.

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We report the catalyst-free synthesis of ZnO nanobranches on Si nanowires using metalorganic chemical vapor deposition. The formation of single-crystalline ZnO nanobranches on Si nanowire backbones has been confirmed by lattice resolved transmission electron microscopy. Depending on the growth parameters, especially the growth temperature, the morphology and size of the ZnO nanobranches evolved from nanothorn-shaped (at 350 °C) to nanoneedle-shaped structures (at 500 °C). When the growth temperature was further increased to 800 °C, thin ZnO nanowire branches grew out of the Si nanowire backbon
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Koblischka, Michael Rudolf, Anjela Koblischka-Veneva, XianLin Zeng, Essia Hannachi та Yassine Slimani. "Microstructure and Fluctuation-Induced Conductivity Analysis of Bi2Sr2CaCu2O8+δ (Bi-2212) Nanowire Fabrics". Crystals 10, № 11 (2020): 986. http://dx.doi.org/10.3390/cryst10110986.

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Resistance measurements were performed on Bi2Sr2CaCu2O8+δ (Bi-2212) fabric-like nanowire networks or nanofiber mats in the temperature interval 3 K ≤T≤ 300 K. The nanowire fabrics were prepared by means of electrospinning, and consist of long (up to 100 μm) individual nanowires with a mean diameter of 250 nm. The microstructure of the nanowire network fiber mats and of the individual nanowires was thoroughly characterized by electron microscopy showing that the nanowires can be as thin as a single Bi-2212 grain. The polycrystalline nanowires are found to have a texture in the direction of the
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Dissertations / Theses on the topic "Nanowire networks"

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Mrzel, A., A. Kovic, A. Jesih, and M. Vilfan. "Decoration of MoSI Nanowires with Platinum Nanoparticles and Transformation into Molybdenum-nanowire Nased Networks." Thesis, Sumy State University, 2013. http://essuir.sumdu.edu.ua/handle/123456789/35168.

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In this communication, we present solution-based coating procedure of MoSI nanowires (NW) with platinum nanoparticles. The average particle diameter was found to be around 2.82 nm, showing a narrow size distribution. This single-step in situ reduction method at room temperature in water solution can easily be applied for large-scale applications. We also prepared two-dimensional networks of MoSI NW bundles by deposition via spraying from a purified stable dispersion in acetonitrile onto NaCl crystals and nonconductive silicon wafer with pre-assembled molybdenum electrodes. The formation o
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Ainsworth, Catherine. "Structure-property relationships in conductive nanowire networks." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/structureproperty-relationships-in-conductive-nanowire-networks(0a8901bc-54be-4882-b49d-3e5515fac0df).html.

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This thesis studies networks of silver nanowires as a transparent conducting electrode material and presents an investigation into the relationship between electrical and optical properties in the networks. The work focusses on two main aspects: the production of networks via different deposition methods; and the development of a predictive model based on theory that relates the sheet resistance to the optical transmittance. The deposition methods of drop-casting, bar-coating and spray-coating are used to create networks and the randomness of these networks is compared using image analysis in
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Fu, Kaiwei. "Reservoir Computing with Neuro-memristive Nanowire Networks." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/25900.

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We present simulation results based on a model of self–assembled nanowire networks with memristive junctions and neural network–like topology. We analyse the dynamical voltage distribution in response to an applied bias and explain the network conductance fluctuations observed in previous experimental studies. We show I − V curves under AC stimulation and compare these to other bulk memristors. We then study the capacity of these nanowire networks for neuro-inspired reservoir computing by demonstrating higher harmonic generation and short/long–term memory. Benchmark tasks in a reservoir comput
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Baldini, Paolo. "Online adaptation of robots controlled by nanowire networks." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25396/.

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The use of current computational systems is sometimes problematic in robotics, as their cost and power consumption might be too high to find space in low-cost robots. Additionally, their computational capabilities are notable, but not always suited for real-time operations. These limits drastically reduce the amount of applications that can be envisioned. A basic example is the use of micro and nanobots, that even add the issue of size. The need to find different technologies is therefore strong. Here, one alternative computational system is proposed and used: Nanowire Networks. These are nove
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Liau, Forrest (Forrest W. ). "Virus-enabled synthesis and 2D/3D assembly of nanowire networks." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/92064.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Materials Science and Engineering, June 2013.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis. "June 2013."<br>Includes bibliographical references.<br>Dense networks of high aspect ratio nanowires can provide important functionality to electronic devices through a unique combination of electronic and structural properties including high conductivity, high surface area,
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Hochstetter, Joel Thomas. "Avalanches and the edge-of-chaos in neuromorphic nanowire networks." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/27424.

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The brain's efficient information processing is enabled by the interplay between its neuro-synaptic elements and complex network structure. This work reports on the neuromorphic dynamics of nanowire networks (NWNs), a brain-inspired system with synapse-like memristive junctions embedded within a recurrent neural network-like structure. Simulation and experiment elucidate how collective memristive switching gives rise to long-range transport pathways, drastically altering the network's global state via a discontinuous phase transition. The spatio-temporal properties of switching dynamics are fo
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Loeffler, Alon Menachim. "Searching for the physical nature of intelligence in Neuromorphic Nanowire Networks." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/29705.

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The brain’s unique information processing efficiency has inspired the development of neuromorphic, or brain-inspired, hardware in effort to reduce the power consumption of conventional Artificial Intelligence (AI). One example of a neuromorphic system is nanowire networks (NWNs). NWNs have been shown to produce conductance pathways similar to neuro-synaptic pathways in the brain, demonstrating nonlinear dynamics, as well as emergent behaviours such as memory and learning. Their synapse-like electro-chemical junctions are connected by a heterogenous neural network-like structure. This makes NWN
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Sachse, Christoph. "Metal Nanowire Networks as Transparent Electrode for Small-Molecule Organic Solar Cells." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-160057.

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This work focuses on the development of metal nanowire networks for the use as transparent electrodes in small-molecule organic solar cells. Broad adoption of organic solar cells requires inexpensive roll-to-roll processing on flexible, lightweight substrates. Under these conditions, traditional metal oxide electrodes suffer from significant drawbacks such as brittleness and cost. In contrast, metal nanowire networks provide properties more suitable for high-throughput processing and thus, are investigated here as an alternative. They combine the high-conductivity of metals with the advantage
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Langley, Daniel. "Silver nanowire networks : effects of percolation and thermal annealing on physical properties." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENI054/document.

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L'utilisation de matériaux conducteurs transparents (TCM) a rapidement augmenté au cours des deux dernières décennies en raison de la demande croissante liée à l'usage d'appareils électroniques personnels ainsi qu'au développement de cellules solaires à base de couches minces. Jusqu'à présent, le TCM le plus couramment utilisé a été l'oxyde d'indium et d'étain (ITO), mais l'indium est une terre rare dont l'environnement géopolitique lié à son approvisionnement et à sa production est complexe. En outre, la famille des oxydes transparents conducteurs possèdent de médiocres propriétés mécaniques
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Papanastasiou, Theodora. "Investigation of silver nanowire networks : physical properties, stability and integration into devices." Thesis, Université Grenoble Alpes, 2020. http://www.theses.fr/2020GRALI083.

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Les électrodes transparentes sont des composants essentiels au sein d’une grande variété de dispositifs, par exemple, chauffants ou liés à l’énergie et l'éclairage. L’oxyde d'indium et d'étain est le matériau le plus utilisé jusqu'à présent. Cependant, en raison de la fragilité et de la rareté de l'indium, un intérêt de recherche intensif a émergé au cours de la dernière décennie pour des matériaux conducteurs transparents (TCM) alternatifs. Les réseaux de nanofils métalliques, et surtout les réseaux de nanofils d'argent (AgNW), semblent être parmi les plus prometteurs, grâce à leurs très bonn
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Book chapters on the topic "Nanowire networks"

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Kurinnaya, Alina, Olga Koval, Alex Serov, Vjaceslavs Bobrovs, Igor Shtrom, and Alexey Bolshakov. "Flexible GaNP Nanowire-Based Platform: Optical Studies." In Lecture Notes in Networks and Systems. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-53549-9_27.

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Kasai, Seiya, Hong-Quan Zhao, Yuta Shiratori, Tamer Mohamed, and Svetlana N. Yanushkevich. "Boolean Logic Circuits on Nanowire Networks and Related Technologies." In Nanophotonic Information Physics. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40224-1_5.

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Miki, Shigehito, Mikio Fujiwara, Rui-Bo Jin, Takashi Yamamoto, and Masahide Sasaki. "Quantum Information Networks with Superconducting Nanowire Single-Photon Detectors." In Quantum Science and Technology. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24091-6_5.

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Liu, Yiming, Mingxuan Zhang, Yizhang Xia, Yinchao Zhao, and Qifeng Lu. "A ZnO Nanowire Based Memristive Device and Its Application in Artificial Synapse." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70684-4_9.

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Baldini, Paolo, Michele Braccini, and Andrea Roli. "Online Adaptation of Robots Controlled by Nanowire Networks: A Preliminary Study." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-31183-3_14.

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Adelung, Rainer, Rainer Kunz, Frank Ernst, Lutz Kipp, and Michael Skibowski. "Self-Organized Structures on Flat Crystals: Nanowire Networks Formed by Metal Evaporation." In Advances in Solid State Physics. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-44838-9_33.

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Heer, W. A., and D. Ugarte. "Fractionally Quantized Conductances in Ballistic Metal Nanowires and Carbon Nanotube Networks." In Nanowires. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-015-8837-9_16.

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Jung, Ju Yong, Youn Su Kim, Hee Sang Shim, and Won Bae Kim. "Gold Nanowire-Network Structure Prepared from Metallic Gold Nanowires Deposited in Polycarbonate Template Membrane." In Solid State Phenomena. Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/3-908451-31-0.1729.

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Mertig, Michael, and Wolfgang Pompe. "Biomimetic Fabrication of DNA-Based Metallic Nanowires and Networks." In Nanobiotechnology. Wiley-VCH Verlag GmbH & Co. KGaA, 2005. http://dx.doi.org/10.1002/3527602453.ch17.

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Yoshida, Hideto, Tetsuya Uchiyama, Jun Kikkawa, Hideo Kohno, and Seiji Takeda. "Synthesis of Single-Walled Carbon Nanotube Networks on Silicon Nanowires." In Materials Science Forum. Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-462-6.1205.

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Conference papers on the topic "Nanowire networks"

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Pistolesi, Veronica, Andrea Ceni, Gianluca Milano, Carlo Ricciardi, and Claudio Gallicchio. "A Model of Memristive Nanowire Neuron for Recurrent Neural Networks." In ESANN 2025. Ciaco - i6doc.com, 2025. https://doi.org/10.14428/esann/2025.es2025-104.

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Zhang, Boyang, Zhe Li, Zhongju Wang, Daoyi Dong, and Lan Fu. "Modeling Nanowire Single-Photon Avalanche Detectors via Deep Neural Networks." In 2025 9th IEEE Electron Devices Technology & Manufacturing Conference (EDTM). IEEE, 2025. https://doi.org/10.1109/edtm61175.2025.11040331.

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Weng, Zhengjin, Yong Fang, Wei Lei, Suhaidi Shafie, Nattha Jindapetch, and Zhiwei Zhao. "Numerical Investigation on Structural Topology and Electrical Properties of Neuromorphic Nanowire Networks." In 2023 6th International Conference on Electronics and Electrical Engineering Technology (EEET). IEEE, 2023. http://dx.doi.org/10.1109/eeet61723.2023.00040.

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Ponzoni, Andrea. "The contributions of nanowires and nanowire-nanowire junctions in chemiresistors based on metal oxide nanowire networks." In 2021 IEEE 21st International Conference on Nanotechnology (NANO). IEEE, 2021. http://dx.doi.org/10.1109/nano51122.2021.9514316.

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Sunkara, Mahendra K., S. Vaddiraju, Gopinath Bhimarasetti, et al. "Chemical design of inorganic nanowires, nanotubes and nanowire networks." In Optics East, edited by M. Saif Islam and Achyut K. Dutta. SPIE, 2004. http://dx.doi.org/10.1117/12.571424.

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Fu, Kaiwei, Ruomin Zhu, Alon Loeffler, et al. "Reservoir Computing with Neuromemristive Nanowire Networks." In 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 2020. http://dx.doi.org/10.1109/ijcnn48605.2020.9207727.

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Zhu, Ruomin, Alon Loeffler, Joel Hochstetter, et al. "MNIST classification using Neuromorphic Nanowire Networks." In ICONS 2021: International Conference on Neuromorphic Systems 2021. ACM, 2021. http://dx.doi.org/10.1145/3477145.3477162.

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Kuncic, Zdenka, Omid Kavehei, Ruomin Zhu, et al. "Neuromorphic Information Processing with Nanowire Networks." In 2020 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2020. http://dx.doi.org/10.1109/iscas45731.2020.9181034.

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Neu, Jens, Sophia M. Yi, Yangqi Gu, et al. "Terahertz-Conductivity in Biological Nanowire-Networks." In 2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz). IEEE, 2019. http://dx.doi.org/10.1109/irmmw-thz.2019.8874204.

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Zhu, Ruomin, Sam Lilak, Alon Loeffler, et al. "Reservoir Computing with Neuromorphic Nanowire Networks." In Neuromorphic Materials, Devices, Circuits and Systems. FUNDACIO DE LA COMUNITAT VALENCIANA SCITO, 2023. http://dx.doi.org/10.29363/nanoge.neumatdecas.2023.055.

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Reports on the topic "Nanowire networks"

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Salim, Amir-Jafari. Development of Secure, High-Performance Superconducting Nanowire Single Photon Detectors for Quantum Networks. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1659737.

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Francesco, Caravelli, Zhu Ruomin, Baccetti Valentina, and Kuncic Zdenka. Ergodicity, lack thereof, and the performance of reservoir computing with memristive networks and nanowire. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/2386906.

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