Wave digital emulation of general memristors

Solan, Enver; Ochs, Karlheinz

doi:10.1002/cta.2515

Cited by 20 publications

(10 citation statements)

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“…Charge trapping memory utilizes the active layer for the charge trapping, which makes conductive path for the current through the active layer [122,123]. Another model is based on the electrochemical metallization, where metals from the electrodes penetrate into the active layer and make a conductive bridge between the electrodes [124,125]. Several models are associated with the switching mechanism of memristor depending on the active layer material and electrodes.…”

Section: Active Layer Fabricationmentioning

confidence: 99%

Memristor Fabrication Through Printing Technologies: A Review

Ali

Khan

et al. 2021

IEEE Access

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Memristor got the significant attraction to be the next generation memory device due to its small size, simple architecture, high density, and low power consumption. A memristor is a passive twoterminal primary electronic device with a built-in non-volatile memory function that can be fabricated in a crossbar structure. In the literature, independent studies have been reported on memristor manufacturing concerning the spatial resolution of the crossbar electrodes, and thickness of the active layer. However, this paper presents a comprehensive review different from others by comparing all the additive manufacturing technologies and their limitations for the development of a memristor array. A detailed study is performed about the pattern resolution, active layer fabrication, commonly used substrates, and device encapsulation methods. This review will provide a strong basis for the researchers, especially those working in the field of printed memristor devices.INDEX TERMS Memristor, printing technologies, thin films, crossbar electrodes, memristor fabrication.

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Section: Active Layer Fabricationmentioning

confidence: 99%

Memristor Fabrication Through Printing Technologies: A Review

Ali

Khan

et al. 2021

IEEE Access

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“…The QPC model in combination with this internal state defines a general memristor

u ((), t) = R ((), z, u) i ((), t), with R ((), z, u) = R_{0} + z ([], R_{1} ((), u) - R_{0}) and \overset{z}{true} = f ((), z, u),

where the memristance R depends on the applied voltage and changes linearly between the HRS and LRS with respect to the internal state z . The function f is the so‐called memristive function, which describes the change of the internal state depending on the actual state and the applied voltage.…”

Section: Electrical Modelmentioning

confidence: 99%

“…Moreover, the introduction of wave quantities leads to a port‐wise evaluation of the passivity, even under finite arithmetic conditions. A general approach for wave digital emulators of memristive devices is introduced in previous studies . The main benefit, among others, of emulators based on wave digital principles is the flexibility, which is manifested in two different ways: the flexibility of implementation the resulting algorithmic model on different platforms and the flexibility of the utilized memristive model itself.…”

Section: Wave Digital Emulationmentioning

confidence: 99%

“…In the proposed emulation scenario, R 3 denotes the port resistance corresponding to the memristive port. A more general approach for the wave digital modeling of memristive systems is introduced in Solan and Ochs with examples considering mathematical and physical models of memristors. The nonlinear resistor can also be modeled by a reflection coefficient

ρ false(u_{G} false) = \frac{R ((), u_{G}) - R_{2}}{R ((), u_{G}) - R_{2}},

but in contrast to memristive wave digital models, the nonlinear resistor is defined by a pure algebraic equation.…”

Section: Wave Digital Emulationmentioning

confidence: 99%

“…However, dealing with memristive devices in the wave digital domain is not comparable with nonlinear devices, which lead to topology‐related delay‐free loops in the signal flow diagram . Since memristors include an internal state that depends on external signals, differential‐algebraic delay‐free loops occur . In order to solve these implicit equations, a structurally modular and easy to implement fixed‐point iteration scheme is exploited.…”

Section: Wave Digital Emulationmentioning

confidence: 99%

See 2 more Smart Citations

Wave digital model of a TiN/Ti/HfO₂/TiN memristor

Solan

Pérez

Michaelis

et al. 2019

Int J Numerical Modelling

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Memristors-nonlinear resistors with memory-are potential candidates for the utilization in self-organizing circuits. These novel elements need innovative technological developments in order to incorporate them into integrated electrical circuits. Alternatively, HfO 2 -based resistive random access memories (RRAMs) are complementary metal-oxide-semiconductor (CMOS) compatible and can also be interpreted as memristive devices. A fingerprint of such devices is their rapid change between the high-and low-resistance state. It is intended to exploit this feature in self-organizing circuits to achieve a desired overall functionality. But the huge device variabilities exacerbate preinvestigations of real circuits including such devices. To this end, a wave digital model based on a mathematical and a physical model of a hafnium oxide (HfO 2 ) memristor is introduced. Utilizing the wave digital approach yields a flexible, real-time capable algorithmic model, which is suitable for live parameter fitting in real circuits. Comparisons of the emulated hysteresis with measured data of RRAM cells verify the functionality of the presented emulator. The proposed method for emulating physical systems is not restricted to single devices. Indeed, whole subcircuits can be emulated before fabrication in order to save development costs. KEYWORDSmemristor emulator, memristive devices, resistive switching, wave digital filter Int J Numer Model. 2019;32:e2588.wileyonlinelibrary.com/journal/jnm

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Wave digital model of calcium‐imaging‐based neuronal activity of mice

Jenderny

Ochs

2022

Int J Numerical Modelling

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The modeling of real neuronal networks by close‐to‐biology circuits can contribute to a better understanding of these networks from a circuit theoretical point of view. This can potentially lead to novel design principles for electrical circuits. This modeling process involves the mimicking of real measured neuronal activity, which is often only available as calcium imaging recordings. In this work, we develop a wave digital model as a circuit emulator capable of mimicking the calcium‐imaging‐based neuronal activity of mouse neurons. For this purpose, we design an electrical reference circuit of a mouse neuron based on an extended Morris–Lecar model in combination with an RC circuit. The circuit parameters are determined by a parameter scaling without requiring any parameter optimization. The input signal of the resulting wave digital model is designed based on estimating spike times with the spike inference software MLspike. Wave digital emulations show the successful mimicking of calcium‐based neuronal activity for mouse neurons located in the visual, motor and somatosensory cortex as well the possibility to predict ion currents occurring during this activity. This proves the suitability of the reference circuit as a model for the considered types of mouse neurons. It also implies that the circuit can act as an observer for electrical signals of mouse neurons. This is achieved despite the lack of electrophysiological measurements in most cases. Hence, the proposed wave digital model can be seen as an important step toward being able to verify close‐to‐biology electrical circuits as a model of real neuronal networks without electrophysiology.

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Wave digital emulation of general memristors

Cited by 20 publications

References 35 publications

Memristor Fabrication Through Printing Technologies: A Review

Memristor Fabrication Through Printing Technologies: A Review

Wave digital model of a TiN/Ti/HfO₂/TiN memristor

Wave digital model of calcium‐imaging‐based neuronal activity of mice

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Wave digital emulation of general memristors

Cited by 20 publications

References 35 publications

Memristor Fabrication Through Printing Technologies: A Review

Memristor Fabrication Through Printing Technologies: A Review

Wave digital model of a TiN/Ti/HfO2/TiN memristor

Wave digital model of calcium‐imaging‐based neuronal activity of mice

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Wave digital model of a TiN/Ti/HfO₂/TiN memristor