TY - JOUR
T1 - High-frequency stochastic switching of graphene resonators near room temperature
AU - Dolleman, Robin Joey
AU - Belardinelli, Pierpaolo
AU - Houri, Samer
AU - van der Zant, Herre
AU - Alijani, Farbod
AU - Steeneken, Peter
PY - 2019
Y1 - 2019
N2 - Stochastic switching between the two bistable states of a strongly driven mechanical resonator enables detection of weak signals based on probability distributions, in a manner that mimics biological systems. However, conventional silicon resonators at the microscale require a large amount of fluctuation power to achieve a switching rate in the order of a few hertz. Here, we employ graphene membrane resonators of atomic thickness to achieve a stochastic switching rate of 4.1 kHz, which is 100 times faster than current state-of-the-art. The (effective) temperature of the fluctuations is approximately 400 K, which is 3000 times lower than the state-of-the-art. This shows that these membranes are potentially useful to transduce weak signals in the audible frequency domain. Furthermore, we perform numerical simulations to understand the transition dynamics of the resonator and use analytical expressions to investigate the relevant scaling parameters that allow high-frequency, low-temperature stochastic switching to be achieved in mechanical resonators.
AB - Stochastic switching between the two bistable states of a strongly driven mechanical resonator enables detection of weak signals based on probability distributions, in a manner that mimics biological systems. However, conventional silicon resonators at the microscale require a large amount of fluctuation power to achieve a switching rate in the order of a few hertz. Here, we employ graphene membrane resonators of atomic thickness to achieve a stochastic switching rate of 4.1 kHz, which is 100 times faster than current state-of-the-art. The (effective) temperature of the fluctuations is approximately 400 K, which is 3000 times lower than the state-of-the-art. This shows that these membranes are potentially useful to transduce weak signals in the audible frequency domain. Furthermore, we perform numerical simulations to understand the transition dynamics of the resonator and use analytical expressions to investigate the relevant scaling parameters that allow high-frequency, low-temperature stochastic switching to be achieved in mechanical resonators.
KW - 2D materials
KW - graphene
KW - NEMS
KW - nonlinear dynamics
KW - Stochastic switching
UR - http://www.scopus.com/inward/record.url?scp=85061589287&partnerID=8YFLogxK
U2 - 10.1021/acs.nanolett.8b04862
DO - 10.1021/acs.nanolett.8b04862
M3 - Article
VL - 19
SP - 1282
EP - 1288
JO - Nano Letters: a journal dedicated to nanoscience and nanotechnology
JF - Nano Letters: a journal dedicated to nanoscience and nanotechnology
SN - 1530-6984
IS - 2
ER -