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Search: WFRF:(Semenenko I)

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  • Karpyna, V A, et al. (author)
  • Electron field emission from ZnO self-organized nanostructures and doped ZnO : Ga nanostructured films
  • 2009
  • In: Microelectronics Journal. - : Elsevier BV. - 0959-8324 .- 0026-2692. ; 40:2, s. 229-231
  • Journal article (peer-reviewed)abstract
    • Self-organized ZnO nanostructures were grown by thermal decomposition of metalorganic precursors as well as by carbothermal reduction process. Nanostructured undoped and gallium-doped ZnO nanostructured films were deposited by plasma-enhanced chemical vapor deposition from metalorganic compounds. Electron field emission follows Fowler-Nordheim equation. Efficient electron emission was obtained from self-organized nanorstructures due to their geometric shape. Enhanced field emission from ZnO:Ga nanorstructured films in comparison with undoped ZnO films is obliged to lowering work function at doping by gallium.
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  • Surov, Ilya A., et al. (author)
  • Quantum semantics of text perception
  • 2021
  • In: Scientific Reports. - : Nature Publishing Group. - 2045-2322. ; 11:1, s. 1-13
  • Journal article (peer-reviewed)abstract
    • The paper presents quantum model of subjective text perception based on binary cognitive distinctions corresponding to words of natural language. The result of perception is quantum cognitive state represented by vector in the qubit Hilbert space. Complex-valued structure of the quantum state space extends the standard vector-based approach to semantics, allowing to account for subjective dimension of human perception in which the result is constrained, but not fully predetermined by input information. In the case of two distinctions, the perception model generates a two-qubit state, entanglement of which quantifies semantic connection between the corresponding words. This two-distinction perception case is realized in the algorithm for detection and measurement of semantic connectivity between pairs of words. The algorithm is experimentally tested with positive results. The developed approach to cognitive modeling unifies neurophysiological, linguistic, and psychological descriptions in a mathematical and conceptual structure of quantum theory, extending horizons of machine intelligence.
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