Numerical and experimental study of stochastic resistive switching

Area of Science:

• Materials Science
• Condensed Matter Physics
• Non-linear Dynamics

Background:

• Resistive switching (RS) is a key phenomenon in developing next-generation memory devices.
• The presence of noise in electronic systems is often considered detrimental.
• Understanding the interplay between noise and RS is critical for device optimization.

Purpose of the Study:

• To investigate the role of external Gaussian noise in resistive switching phenomena.
• To compare the effectiveness of noise-assisted switching with traditional high-amplitude signals.
• To characterize the beneficial effects of noise on the contrast ratio of resistance states.

Main Methods:

• Experimental investigation using a manganite sample.
• Numerical simulations to model resistive switching behavior.
• Comparative analysis of resistance states under varying signal conditions (noisy vs. noiseless).

Main Results:

• Addition of external Gaussian noise to a small driving signal significantly improved the contrast ratio between low- and high-resistance states.
• The noise-induced contrast ratio was comparable to that achieved with a large-amplitude, noiseless signal.
• Excellent agreement between experimental measurements and numerical simulations validated the findings.

Conclusions:

• External noise can beneficially influence resistive switching phenomena.
• Noise can be leveraged to enhance the performance of memory devices.
• These findings are relevant for the design of integrated electronic memory systems where noise is unavoidable.