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Title: Conductance with stochastic resonance in Mn{sub 12} redox network without tuning

Artificial neuron-based information processing is one of the attractive approaches of molecular-scale electronics, which can exploit the ability of molecular system for self-assembling or self-organization. The self-organized Mn{sub 12}/DNA redox network shows nonlinear current-voltage characteristics that can be described by the Coulomb blockade network model. As a demonstration of the nonlinear network system, we have observed stochastic resonance without tuning for weak periodic input signals and thermal noise, which suggests a route to neural network composed of molecular materials.
Authors:
 [1] ;  [2] ; ;  [3] ;  [4] ;  [1]
  1. Department of Chemistry, Graduate School of Science, Osaka University, 1-1 Machikaneyama-cho, Toyonaka, Osaka 560-0043 (Japan)
  2. (Japan)
  3. Institute of Scientific and Industrial Research (ISIR), Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka 567-0047 (Japan)
  4. Department of Chemistry, Faculty of Science and Engineering, Kinki University, 3-4-1 Kowakae, Higashi-Osaka, Osaka 577-8502 (Japan)
Publication Date:
OSTI Identifier:
22300051
Resource Type:
Journal Article
Resource Relation:
Journal Name: Applied Physics Letters; Journal Volume: 104; Journal Issue: 23; Other Information: (c) 2014 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; 77 NANOSCIENCE AND NANOTECHNOLOGY; COMPUTERIZED SIMULATION; CURRENTS; DNA; ELECTRIC CONDUCTIVITY; ELECTRIC POTENTIAL; MOLECULES; NEURAL NETWORKS; NOISE; NONLINEAR PROBLEMS; PERIODICITY; RESONANCE; STOCHASTIC PROCESSES