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@ARTICLE{Kutovyi:890449,
      author       = {Kutovyi, Yurii and Madrid, Ignacio and Boichuk, Nazarii and
                      Kim, Soo Hyeon and Fujii, Teruo and Jalabert, Laurent and
                      Offenhaeusser, Andreas and Vitusevich, Svetlana and
                      Clément, Nicolas},
      title        = {{S}ingle-trap phenomena stochastic switching for noise
                      suppression in nanowire {FET} biosensors},
      journal      = {Japanese journal of applied physics},
      volume       = {60},
      number       = {SB},
      issn         = {1347-4065},
      address      = {Tokyo},
      publisher    = {Japan Soc. of Applied Physics},
      reportid     = {FZJ-2021-00965},
      pages        = {SBBG03 -},
      year         = {2021},
      abstract     = {With the fast-shrinking of the transistor dimensions, the
                      low-frequency noise level considerably increases emerging as
                      an important parameter for the design of advanced devices
                      for information technologies. Single-trap phenomena (STP) is
                      a promising approach for the low-frequency noise suppression
                      technique in nanotransistor biosensors by considering
                      trapping/detrapping noise as a signal. We show a noise
                      reduction mechanism offered by STP in nanoscale devices
                      making the analogy with stochastic resonance effect found in
                      biological systems by considering a single trap as a
                      bistable stochastically driven nonlinear system which
                      transmits and amplifies the weak signals. The STP noise
                      suppression effect is experimentally demonstrated for the
                      fabricated liquid-gated nanosensors exploiting STP. We found
                      the optimal conditions and parameters including optimized
                      gate voltages to implement a stochastic switching effect for
                      the extraction of useful signals from the background noise
                      level. These results should be considered for the
                      development of reliable and highly sensitive nanoscale
                      biosensors.},
      cin          = {IBI-3},
      ddc          = {530},
      cid          = {I:(DE-Juel1)IBI-3-20200312},
      pnm          = {524 - Molecular and Cellular Information Processing
                      (POF4-524)},
      pid          = {G:(DE-HGF)POF4-524},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000614748800001},
      doi          = {10.35848/1347-4065/abdc87},
      url          = {https://juser.fz-juelich.de/record/890449},
}