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

Journal Article · Mon Jun 09 00:00:00 EDT 2014 · Applied Physics Letters

DOI:https://doi.org/10.1063/1.4882160· OSTI ID:22300051

Hirano, Yoshiaki ^[1]; Segawa, Yuji; Kawai, Tomoji ^[2]; Kuroda-Sowa, Takayoshi ^[3]; Matsumoto, Takuya ^[1]

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1. Department of Chemistry, Graduate School of Science, Osaka University, 1-1 Machikaneyama-cho, Toyonaka, Osaka 560-0043 (Japan)
2. Institute of Scientific and Industrial Research (ISIR), Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka 567-0047 (Japan)
3. Department of Chemistry, Faculty of Science and Engineering, Kinki University, 3-4-1 Kowakae, Higashi-Osaka, Osaka 577-8502 (Japan)

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.

• OSTI ID: 22300051
• Journal Information: Applied Physics Letters, Vol. 104, Issue 23; Other Information: (c) 2014 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA); ISSN 0003-6951
• Country of Publication: United States
• Language: English

Related Subjects

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