In this paper, we discuss some of the measurement and analysis techniques for Random Telegraph Noise (RTN). Due to its detrimental impact on devices, RTN mechanism must be investigated and integrated into device models. However, RTN analysis requires a self-consistent framework in which automated measurement techniques, data analysis procedures, and physics-based modeling are blended together. Here we discuss guidelines to perform corrrect RTN measurements, and statistical techniques to perform advanced data analysis. This allows getting reliable results, which can lead to an unbiased physical interpretation of the phenomenon. The statistical analysis of RTN measured in hafnium oxide RRAM devices allows revealing the mechanism leading to the wide RTN fluctuations in high-resistive state, as well as the physical properties of the defect species involved in this phenomenon.
Measuring and analyzing Random Telegraph Noise in Nanoscale Devices: The case of resistive random access memories / Puglisi, Francesco Maria. - (2017), pp. 1-5. ((Intervento presentato al convegno 17th Non-Volatile Memory Technology Symposium, NVMTS 2017 tenutosi a RWTH Aachen University, deu nel 2017.
Data di pubblicazione: | 2017 |
Titolo: | Measuring and analyzing Random Telegraph Noise in Nanoscale Devices: The case of resistive random access memories |
Autore/i: | Puglisi, Francesco Maria |
Autore/i UNIMORE: | |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/NVMTS.2017.8171308 |
Codice identificativo Scopus: | 2-s2.0-85046802423 |
Codice identificativo ISI: | WOS:000426605900009 |
Nome del convegno: | 17th Non-Volatile Memory Technology Symposium, NVMTS 2017 |
Luogo del convegno: | RWTH Aachen University, deu |
Data del convegno: | 2017 |
Pagina iniziale: | 1 |
Pagina finale: | 5 |
Citazione: | Measuring and analyzing Random Telegraph Noise in Nanoscale Devices: The case of resistive random access memories / Puglisi, Francesco Maria. - (2017), pp. 1-5. ((Intervento presentato al convegno 17th Non-Volatile Memory Technology Symposium, NVMTS 2017 tenutosi a RWTH Aachen University, deu nel 2017. |
Tipologia | Relazione in Atti di Convegno |
File in questo prodotto:

I documenti presenti in Iris Unimore sono rilasciati con licenza Creative Commons Attribuzione - Non commerciale - Non opere derivate 3.0 Italia, salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris