Nanorings and rods interconnected by self-assembly mimicking an artificial network of neurons
Martha V. Escárcega-Bobadilla,
Gustavo A. Zelada-Guillén,
Sergey V. Pyrlin,
Marcin Wegrzyn,
Marta M.D. Ramos,
Enrique Giménez,
Andrew Stewart,
Gerhard Maier () and
Arjan W. Kleij ()
Additional contact information
Martha V. Escárcega-Bobadilla: Institute of Chemical Research of Catalonia (ICIQ)
Gustavo A. Zelada-Guillén: Polymaterials AG
Sergey V. Pyrlin: Computational and Theoretical Physics Group, University of Minho, Campus of Gualtar
Marcin Wegrzyn: Instituto Tecnológico del Plástico AIMPLAS
Marta M.D. Ramos: Computational and Theoretical Physics Group, University of Minho, Campus of Gualtar
Enrique Giménez: Instituto de Tecnología de Materiales, Universidad Politécnica de Valencia
Andrew Stewart: Institut für Physikalische Chemie, Johannes Gutenberg-Universität Mainz
Gerhard Maier: Polymaterials AG
Arjan W. Kleij: Institute of Chemical Research of Catalonia (ICIQ)
Nature Communications, 2013, vol. 4, issue 1, 1-12
Abstract:
Abstract Molecular electronics based on structures ordered as neural networks emerges as the next evolutionary milestone in the construction of nanodevices with unprecedented applications. However, the straightforward formation of geometrically defined and interconnected nanostructures is crucial for the production of electronic circuitry nanoequivalents. Here we report on the molecularly fine-tuned self-assembly of tetrakis–Schiff base compounds into nanosized rings interconnected by unusually large nanorods providing a set of connections that mimic a biological network of neurons. The networks are produced through self-assembly resulting from the molecular conformation and noncovalent intermolecular interactions. These features can be easily generated on flat surfaces and in a polymeric matrix by casting from solution under ambient conditions. The structures can be used to guide the position of electron-transporting agents such as carbon nanotubes on a surface or in a polymer matrix to create electrically conducting networks that can find direct use in constructing nanoelectronic circuits.
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:4:y:2013:i:1:d:10.1038_ncomms3648
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DOI: 10.1038/ncomms3648
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