Nikolaou A; Leise J; Pruefer J; Zschieschang U; Klauk H; Darbandy G; Iniguez B; Kloes A (2021). Noise-Based Simulation Technique for Circuit-Variability Analysis. Ieee Journal Of The Electron Devices Society, 9(), 450-455. DOI: 10.1109/JEDS.2020.3046301
Papper original source:
Ieee Journal Of The Electron Devices Society. 9 450-455
Abstract:
CCBY An accurate and efficient noise-based simulation technique for predicting the impact of device-parameter variability on the DC statistical behavior of integrated circuits is presented. The proposed method is validated on a source follower, a diode-load inverter and a current mirror based on organic thin-film transistors. Taking advantage of the standard noise analysis of a circuit, after translating the statistical variation of the electrical parameters of the transistors into equivalent-noise circuit components, the proposed technique yields results identical to those obtained from a Monte Carlo simulation, but in a significantly shorter amount of time.
CCBY An accurate and efficient noise-based simulation technique for predicting the impact of device-parameter variability on the DC statistical behavior of integrated circuits is presented. The proposed method is validated on a source follower, a diode-load inverter and a current mirror based on organic thin-film transistors. Taking advantage of the standard noise analysis of a circuit, after translating the statistical variation of the electrical parameters of the transistors into equivalent-noise circuit components, the proposed technique yields results identical to those obtained from a Monte Carlo simulation, but in a significantly shorter amount of time.
Biotechnology,Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials,Engineering, Electrical & Electronic Verilog-a Variability Transistors Threshold voltage Thin-film transistors Thin-film transistor Thin film transistors Organic circuits. Organic circuits Noise Monte carlo methods Monte carlo analysis Model Logic gates Integrated circuit modeling Hardware design languages Compact modeling Engineering, electrical & electronic Electronic, optical and magnetic materials Electrical and electronic engineering Biotechnology