Memristors under the influence of noise and temperature

Patterson, G. A.; Jimka, F. Sangiuliano; Fierens, Pablo Ignacio; Grosz, D. F.

doi:10.1002/pssc.201400125

Cited by 5 publications

(7 citation statements)

References 13 publications

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“…This equation shows that the resistivity decreases with increasing temperature, which agrees with the reported property in [42]. Also, it can be applied to the other materials such as tantalum [43] and manganite [44]. For simpler computation, the resistivity can be approximated to the second order polynomial given in ( 5) where, C 0 , C 1 , and C 2 are material dependent constants.…”

Section: A Model Analysissupporting

confidence: 73%

Toward Designing Thermally-Aware Memristance Decoder

Bunnam

Soltan

Sokolov

et al. 2019

IEEE Trans. Circuits Syst. I

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Memristors are intensively proposed in many applications, such as biosensors and machine learning. Regarding their analog characteristics, memristance decoder is, therefore, an essential part for every memristor-based system. As memristor is a temperature sensitive device, this work proposes a memristance decoder circuit with self-temperature calibration. Its main building block is a comparator which is based on current mode circuit to achieve high performance at low power. The design provides configurable precision based on the available energy and supports both synchronous and asynchronous schemes. Moreover, the VTEAM model is modified to include the temperature effect on the memristance in the analysis. The simulation results, based on UMC 65nm low-leakage CMOS technology, show the following comparator's characteristics: 1.70% maximum offset, 2.91ns worst case latency, 343M Hz maximum frequency and 48.79f J maximum energy per comparison. Monte Carlo simulation shows the metastable state in determining the memristor value. This can be solved by extending the clock period or applying a metastability resolver. The proposed memristor model reveals that memristance at high resistive state degrades quadratically with the rise of the temperature and at 85°C nearly reaches the memristance of low resistive state. The possibility of decoding error due to the temperature effect is demonstrated via simulations.

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Section: A Model Analysissupporting

confidence: 73%

Toward Designing Thermally-Aware Memristance Decoder

Bunnam

Soltan

Sokolov

et al. 2019

IEEE Trans. Circuits Syst. I

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show abstract

“…Finally, it is important to point out that there exists evidence in the literature of external noise enhancing the resistive contrast [3,4,5]. It remains a matter of future work to explore whether it is possible to account for such an observation within the framework put forth in this paper.…”

Section: Discussionmentioning

confidence: 88%

“…3, the value of x at the end of the previous +1 pulse), the pulse duration τ b is not long enough to allow for the convergence to stationarity and higher noise intensities are needed to erase the memory of the initial condition. Moreover, when the noise intensity is low, the value of x(2τ b ) can be approximated by the deterministic solution in equations (3)- (5).…”

Section: Internal Noisementioning

confidence: 99%

Noise on resistive switching: a Fokker–Planck approach

Patterson¹,

Grosz²,

Fierens³

2016

J. Stat. Mech.

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We study the effect of internal and external noise in the phenomenon of resistive switching. We consider a non-harmonic external driving signal and provide a theoretical framework to explain the observed behavior in terms of the related Fokker-Planck equations. It is found that internal noise causes an enhancement of the resistive contrast and that noise proves to be advantageous when considering short driving pulses. In the case of external noise, however, noise only has the effect of degrading the resistive contrast. Furthermore, we find a relationship between the noise amplitude and the driving signal pulsewidth that constrains the persistence of the resistive state. In particular, results suggest that strong and short driving pulses favor a longer persistence time, an observation that may find applications in the field of high-integration high-speed resistive memory devices.

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“…The relevant supercurrent differences ( ) are then calculated between the averaged diffraction patterns. Recently, the effects of the noise on the performance of several memory devices has been investigated 15 18 39 40 41 42 43 44 45 .…”

Section: Resultsmentioning

confidence: 99%

Solitonic Josephson-based meminductive systems

Guarcello

Solinas

Ventra

et al. 2017

Sci Rep

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Memristors, memcapacitors, and meminductors represent an innovative generation of circuit elements whose properties depend on the state and history of the system. The hysteretic behavior of one of their constituent variables, is their distinctive fingerprint. This feature endows them with the ability to store and process information on the same physical location, a property that is expected to benefit many applications ranging from unconventional computing to adaptive electronics to robotics. Therefore, it is important to find appropriate memory elements that combine a wide range of memory states, long memory retention times, and protection against unavoidable noise. Although several physical systems belong to the general class of memelements, few of them combine these important physical features in a single component. Here, we demonstrate theoretically a superconducting memory based on solitonic long Josephson junctions. Moreover, since solitons are at the core of its operation, this system provides an intrinsic topological protection against external perturbations. We show that the Josephson critical current behaves hysteretically as an external magnetic field is properly swept. Accordingly, long Josephson junctions can be used as multi-state memories, with a controllable number of available states, and in other emerging areas such as memcomputing, i.e., computing directly in/by the memory.

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Memristors under the influence of noise and temperature

Cited by 5 publications

References 13 publications

Toward Designing Thermally-Aware Memristance Decoder

Toward Designing Thermally-Aware Memristance Decoder

Noise on resistive switching: a Fokker–Planck approach

Solitonic Josephson-based meminductive systems

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