TY - JOUR
T1 - Logic implementations using a single nanoparticle-protein hybrid
AU - Medalsy, Izhar
AU - Klein, Michael
AU - Heyman, Arnon
AU - Shoseyov, Oded
AU - Remacle, F.
AU - Levine, R. D.
AU - Porath, Danny
PY - 2010/6
Y1 - 2010/6
N2 - A Set-Reset machine is the simplest logic circuit with a built-in memory. Its output is a (nonlinear) function of the input and of the state stored in the machine's memory. Here, we report a nanoscale Set-Reset machine operating at room temperature that is based on a 5-nm silicon nanoparticle attached to the inner pore of a stable circular protein. The nanoparticle-protein hybrid can also function as a balanced ternary multiplier. Conductive atomic force microscopy is used to implement the logic input and output operations, and the processing of the logic Set and Reset operations relies on the finite capacitance of the nanoparticle provided by the good electrical isolation given by the protein, thus enabling stability of the logic device states. We show that the machine can be cycled, such that in every successive cycle, the previous state in the memory is retained as the present state. The energy cost of one cycle of computation is minimized to the cost of charging this state.
AB - A Set-Reset machine is the simplest logic circuit with a built-in memory. Its output is a (nonlinear) function of the input and of the state stored in the machine's memory. Here, we report a nanoscale Set-Reset machine operating at room temperature that is based on a 5-nm silicon nanoparticle attached to the inner pore of a stable circular protein. The nanoparticle-protein hybrid can also function as a balanced ternary multiplier. Conductive atomic force microscopy is used to implement the logic input and output operations, and the processing of the logic Set and Reset operations relies on the finite capacitance of the nanoparticle provided by the good electrical isolation given by the protein, thus enabling stability of the logic device states. We show that the machine can be cycled, such that in every successive cycle, the previous state in the memory is retained as the present state. The energy cost of one cycle of computation is minimized to the cost of charging this state.
UR - http://www.scopus.com/inward/record.url?scp=77955228206&partnerID=8YFLogxK
U2 - 10.1038/nnano.2010.62
DO - 10.1038/nnano.2010.62
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
C2 - 20400968
AN - SCOPUS:77955228206
SN - 1748-3387
VL - 5
SP - 451
EP - 457
JO - Nature Nanotechnology
JF - Nature Nanotechnology
IS - 6
ER -