Numerical and experimental study of stochastic resistive switching
In this paper we study the role of noise in the context of resistive switching phenomena by means of experiments and numerical simulations. Experiments are conducted on a manganite sample. We show that the addition of external Gaussian noise to a small amplitude driving signal yields a contrast rati...
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2013
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15393755_v87_n1_p_Patterson http://hdl.handle.net/20.500.12110/paper_15393755_v87_n1_p_Patterson |
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paper:paper_15393755_v87_n1_p_Patterson2023-06-08T16:20:56Z Numerical and experimental study of stochastic resistive switching Grosz, Diego Fernando Contrast ratio Driving signal Electronic integration High-resistance state Large amplitude Numerical and experimental study Resistive switching Simulations and measurements Small amplitude Computer simulation Experiments Gaussian noise (electronic) Manganese oxide Switching systems algorithm article computer simulation impedance signal processing statistical model statistics Algorithms Computer Simulation Electric Impedance Models, Statistical Signal Processing, Computer-Assisted Stochastic Processes In this paper we study the role of noise in the context of resistive switching phenomena by means of experiments and numerical simulations. Experiments are conducted on a manganite sample. We show that the addition of external Gaussian noise to a small amplitude driving signal yields a contrast ratio between low- and high-resistance states, comparable to that obtained by the application of a large amplitude noiseless signal. Furthermore, excellent agreement between numerical simulation and measurement allows us to study resistive switching under varying input conditions and, thus, properly characterize the beneficial role of noise. We believe these results might be of relevance in the area of memory devices where the large scale of electronic integration renders the presence of noise unavoidable. © 2013 American Physical Society. Fil:Grosz, D.F. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2013 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15393755_v87_n1_p_Patterson http://hdl.handle.net/20.500.12110/paper_15393755_v87_n1_p_Patterson |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Contrast ratio Driving signal Electronic integration High-resistance state Large amplitude Numerical and experimental study Resistive switching Simulations and measurements Small amplitude Computer simulation Experiments Gaussian noise (electronic) Manganese oxide Switching systems algorithm article computer simulation impedance signal processing statistical model statistics Algorithms Computer Simulation Electric Impedance Models, Statistical Signal Processing, Computer-Assisted Stochastic Processes |
| spellingShingle |
Contrast ratio Driving signal Electronic integration High-resistance state Large amplitude Numerical and experimental study Resistive switching Simulations and measurements Small amplitude Computer simulation Experiments Gaussian noise (electronic) Manganese oxide Switching systems algorithm article computer simulation impedance signal processing statistical model statistics Algorithms Computer Simulation Electric Impedance Models, Statistical Signal Processing, Computer-Assisted Stochastic Processes Grosz, Diego Fernando Numerical and experimental study of stochastic resistive switching |
| topic_facet |
Contrast ratio Driving signal Electronic integration High-resistance state Large amplitude Numerical and experimental study Resistive switching Simulations and measurements Small amplitude Computer simulation Experiments Gaussian noise (electronic) Manganese oxide Switching systems algorithm article computer simulation impedance signal processing statistical model statistics Algorithms Computer Simulation Electric Impedance Models, Statistical Signal Processing, Computer-Assisted Stochastic Processes |
| description |
In this paper we study the role of noise in the context of resistive switching phenomena by means of experiments and numerical simulations. Experiments are conducted on a manganite sample. We show that the addition of external Gaussian noise to a small amplitude driving signal yields a contrast ratio between low- and high-resistance states, comparable to that obtained by the application of a large amplitude noiseless signal. Furthermore, excellent agreement between numerical simulation and measurement allows us to study resistive switching under varying input conditions and, thus, properly characterize the beneficial role of noise. We believe these results might be of relevance in the area of memory devices where the large scale of electronic integration renders the presence of noise unavoidable. © 2013 American Physical Society. |
| author |
Grosz, Diego Fernando |
| author_facet |
Grosz, Diego Fernando |
| author_sort |
Grosz, Diego Fernando |
| title |
Numerical and experimental study of stochastic resistive switching |
| title_short |
Numerical and experimental study of stochastic resistive switching |
| title_full |
Numerical and experimental study of stochastic resistive switching |
| title_fullStr |
Numerical and experimental study of stochastic resistive switching |
| title_full_unstemmed |
Numerical and experimental study of stochastic resistive switching |
| title_sort |
numerical and experimental study of stochastic resistive switching |
| publishDate |
2013 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15393755_v87_n1_p_Patterson http://hdl.handle.net/20.500.12110/paper_15393755_v87_n1_p_Patterson |
| work_keys_str_mv |
AT groszdiegofernando numericalandexperimentalstudyofstochasticresistiveswitching |
| _version_ |
1768543248473653248 |