Random telegraph noise in HfOx Resistive Random Access Memory: From physics to compact modeling

Author(s):  
Francesco Maria Puglisi ◽  
Paolo Pavan ◽  
Luca Larcher
MRS Advances ◽  
2016 ◽  
Vol 1 (5) ◽  
pp. 327-338 ◽  
Author(s):  
Francesco M. Puglisi ◽  
Luca Larcher ◽  
Andrea Padovani ◽  
Paolo Pavan

ABSTRACTIn this work we explore the mechanisms responsible for Random Telegraph Noise (RTN) fluctuations in HfOx Resistive Random Access Memory (RRAM) devices. The statistical properties of the RTN are analyzed in many operating conditions exploiting the Factorial Hidden Markov Model (FHMM) to decompose the multilevel RTN traces in a superposition of two-level fluctuations. This allows the simultaneous characterization of individual defects contributing to the RTN. Results, together with multi-scale physics-based simulations, allows thoroughly investigating the physical mechanisms which could be responsible for the RTN current fluctuations in the two resistive states of these devices, including also the charge transport features in a comprehensive framework. We consider two possible options, which are the Coulomb blockade effect and the possible existence of metastable states for the defects assisting charge transport. Results indicate that both options may be responsible for RTN current fluctuations in HRS, while RTN in LRS is attributed to the temporary screening effect of the charge trapped at defect sites around the conductive filament.


2016 ◽  
Vol 125 ◽  
pp. 204-213 ◽  
Author(s):  
Francesco Maria Puglisi ◽  
Luca Larcher ◽  
Andrea Padovani ◽  
Paolo Pavan

2016 ◽  
Vol 55 (4S) ◽  
pp. 04ED05 ◽  
Author(s):  
Tomoko Mizutani ◽  
Takuya Saraya ◽  
Kiyoshi Takeuchi ◽  
Masaharu Kobayashi ◽  
Toshiro Hiramoto

2020 ◽  
Vol 12 (2) ◽  
pp. 02008-1-02008-4
Author(s):  
Pramod J. Patil ◽  
◽  
Namita A. Ahir ◽  
Suhas Yadav ◽  
Chetan C. Revadekar ◽  
...  

Nanomaterials ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1401
Author(s):  
Te Jui Yen ◽  
Albert Chin ◽  
Vladimir Gritsenko

Large device variation is a fundamental challenge for resistive random access memory (RRAM) array circuit. Improved device-to-device distributions of set and reset voltages in a SiNx RRAM device is realized via arsenic ion (As+) implantation. Besides, the As+-implanted SiNx RRAM device exhibits much tighter cycle-to-cycle distribution than the nonimplanted device. The As+-implanted SiNx device further exhibits excellent performance, which shows high stability and a large 1.73 × 103 resistance window at 85 °C retention for 104 s, and a large 103 resistance window after 105 cycles of the pulsed endurance test. The current–voltage characteristics of high- and low-resistance states were both analyzed as space-charge-limited conduction mechanism. From the simulated defect distribution in the SiNx layer, a microscopic model was established, and the formation and rupture of defect-conductive paths were proposed for the resistance switching behavior. Therefore, the reason for such high device performance can be attributed to the sufficient defects created by As+ implantation that leads to low forming and operation power.


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