2010
DOI: 10.1063/1.3285170
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Numerical approach for retention characteristics of double floating-gate memories

Abstract: We report on a numerical investigation in which memory characteristics of double floating-gate (DFG) structure were compared to those of the conventional single floating-gate structure, including an interference effect between two cells. We found that the advantage of the DFG structure is its longer retention time and the disadvantage is its smaller threshold voltage shift. We also provide an analytical form of charging energy including the interference effect. PACS numbers:Floating-gate (FG) memories are wide… Show more

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Cited by 14 publications
(11 citation statements)
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“…35,36 , we have proposed a charge-qubit system 48,49 based on coupled quantum dots (CQDs) 50 . When we regard FGs as quantum dots (QDs), the previous CQD proposal is different from the present proposal in that there are additional FGs stacked on the first FG layer 51 . Although additional fabrication processes are required for the CQD system, the structure of the CQD system can be manufactured by the same set of photo masks as that in the present proposal.…”
Section: Discussioncontrasting
confidence: 56%
“…35,36 , we have proposed a charge-qubit system 48,49 based on coupled quantum dots (CQDs) 50 . When we regard FGs as quantum dots (QDs), the previous CQD proposal is different from the present proposal in that there are additional FGs stacked on the first FG layer 51 . Although additional fabrication processes are required for the CQD system, the structure of the CQD system can be manufactured by the same set of photo masks as that in the present proposal.…”
Section: Discussioncontrasting
confidence: 56%
“…Here, we consider a QAM of a little bit more complicated structure based on coupled quantum dots (CQDs). CQDs or double QDs have been widely investigated in the field of nano-physics [59][60][61][62][63][64] . Depending on whether an extra electron exists in one QD or the other QD, the logical states |0 and |1 are defined.…”
Section: Qam Based On Cqdmentioning
confidence: 99%
“…The interaction Hamiltonian H int is derived from a capacitance network model as shown in the Appendix A 33,34…”
Section: A Hamiltonianmentioning
confidence: 99%