Analysis of Energy Quantization Effects on Single-Electron Transistor Circuits


Autoria(s): Dan, Surya Shankar; Mahapatra, Santanu
Data(s)

01/01/2010

Resumo

In this paper, the effects of energy quantization on different single-electron transistor (SET) circuits (logic inverter, current-biased circuits, and hybrid MOS-SET circuits) are analyzed through analytical modeling and Monte Carlo simulations. It is shown that energy quantizationmainly increases the Coulomb blockade area and Coulomb blockade oscillation periodicity, and thus, affects the SET circuit performance. A new model for the noise margin of the SET inverter is proposed, which includes the energy quantization effects. Using the noise margin as a metric, the robustness of the SET inverter is studied against the effects of energy quantization. An analytical expression is developed, which explicitly defines the maximum energy quantization (termed as ``quantization threshold'') that an SET inverter can withstand before its noise margin falls below a specified tolerance level. The effects of energy quantization are further studiedfor the current-biased negative differential resistance (NDR) circuitand hybrid SETMOS circuit. A new model for the conductance of NDR characteristics is also formulated that explains the energy quantization effects.

Formato

application/pdf

Identificador

http://eprints.iisc.ernet.in/27035/1/getPDFl.pdf

Dan, Surya Shankar and Mahapatra, Santanu (2010) Analysis of Energy Quantization Effects on Single-Electron Transistor Circuits. In: IEEE Transactions on Nanotechnology, 9 (1). pp. 38-45.

Publicador

IEEE Transactions on Nanotechnology

Relação

http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5379145&queryText%3DAnalysis+of+Energy++Quantization+Effects++on+Single-Electron++Transistor+Circuits%26openedRefinements%3D*%26searchField%3DSearch+All

http://eprints.iisc.ernet.in/27035/

Palavras-Chave #Electronic Systems Engineering (Formerly, (CEDT) Centre for Electronic Design & Technology)
Tipo

Journal Article

PeerReviewed