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@ARTICLE{Kavehei:135192,
      author       = {Kavehei, Omid and Linn, Eike and Nielen, Lutz and
                      Tappertzhofen, Stefan and Skafidas, Efstratios and Valov,
                      Ilia and Waser, R.},
      title        = {{A}n associative capacitive network based on nanoscale
                      complementary resistive switches for memory-intensive
                      computing},
      journal      = {Nanoscale},
      volume       = {5},
      number       = {11},
      issn         = {2040-3372},
      address      = {Cambridge},
      publisher    = {RSC Publ.},
      reportid     = {FZJ-2013-03157},
      pages        = {5119 -},
      year         = {2013},
      abstract     = {We report on the implementation of an Associative
                      Capacitive Network (ACN) based on the nondestructive
                      capacitive readout of two Complementary Resistive Switches
                      (2-CRSs). ACNs are capable of performing a fully parallel
                      search for Hamming distances (i.e. similarity) between input
                      and stored templates. Unlike conventional associative
                      memories where charge retention is a key function and hence,
                      they require frequent refresh cycles, in ACNs, information
                      is retained in a nonvolatile resistive state and normal
                      tasks are carried out through capacitive coupling between
                      input and output nodes. Each device consists of two CRS
                      cells and no selective element is needed, therefore, CMOS
                      circuitry is only required in the periphery, for addressing
                      and read-out. Highly parallel processing, nonvolatility,
                      wide interconnectivity and low-energy consumption are
                      significant advantages of ACNs over conventional and
                      emerging associative memories. These characteristics make
                      ACNs one of the promising candidates for applications in
                      memory-intensive and cognitive computing, switches and
                      routers as binary and ternary Content Addressable Memories
                      (CAMs) and intelligent data processing},
      cin          = {PGI-7 / JARA-FIT},
      ddc          = {600},
      cid          = {I:(DE-Juel1)PGI-7-20110106 / $I:(DE-82)080009_20140620$},
      pnm          = {421 - Frontiers of charge based Electronics (POF2-421)},
      pid          = {G:(DE-HGF)POF2-421},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000319008700071},
      doi          = {10.1039/c3nr00535f},
      url          = {https://juser.fz-juelich.de/record/135192},
}