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Updated: Jun 6, 2026
11:03
An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
Published on: December 4, 2017
Collective Poisson process with periodic rates: applications in physics from micro-to nanodevices.
Roberto da Silva1, Luis C Lamb, Gilson Inacio Wirth
1Institute of Informatics, Federal University of Rio Grande do Sul, Avenida Bento Gonçalves 9500, 91501-970 Porto Alegre, RS, Brazil. rdasilva@inf.ufrgs.br
Summary
This study introduces a new model to reduce random telegraph signals (RTS) noise in semiconductor devices. The model uses a novel Monte Carlo Markov chain algorithm to decrease current fluctuations and power spectral density.
Area of Science:
- Solid State Physics
- Materials Science
- Electrical Engineering
Background:
- Miniaturization of semiconductor devices increases noise sources like random telegraph signals (RTS).
- Traditional models are inadequate for nano- and mesoscale systems due to distributed quantities and phenomena like RTS in carbon nanotube devices causing significant current fluctuations.
- Understanding RTS physics and mitigation techniques is crucial for developing efficient devices.
Purpose of the Study:
- To develop a theoretical model for noise reduction in semiconductor devices, specifically addressing random telegraph signals.
- To investigate techniques for decreasing current fluctuations in the time domain and power spectral density in the frequency domain.
- To incorporate the ballistic transport regime, relevant for nano- and mesoscale devices, into the noise model.
Main Methods:
- Developed a theoretical model describing RTS as a collective Poisson process with time-dependent capture and emission rates.
- Employed numerical integrations and a novel Monte Carlo Markov chain (MCMC) algorithm for discrete microscopic values.
- Accounted for the ballistic transport regime, crucial for modern nanoscale devices.
Main Results:
- The proposed model successfully demonstrates noise reduction in current fluctuations and power spectral density.
- The model accurately predicts noise reduction as suggested by prior experimental findings.
- The study reveals that the ballistic regime introduces nonlinearity into the electrical behavior of these devices.
Conclusions:
- The developed theoretical model and MCMC algorithm provide an effective method for reducing RTS noise in semiconductor devices.
- The model's ability to handle the ballistic regime offers a more comprehensive understanding of nano- and mesoscale device physics.
- This work contributes to the design of more efficient and reliable semiconductor devices by mitigating noise issues.
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