Memristor‐based stateful logic gates for multi‐functional logic circuit

Luo, Li; Dong, Zhekang; Duan, Shukai; Lai, Chun Sing

doi:10.1049/iet-cds.2019.0422

Cited by 17 publications

(12 citation statements)

References 31 publications

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“…Compared with IMPLY, MRL and MAD, the proposed XOR logic gate does not require resistors, which is beneficial in power consumption. In addition, the proposed XOR logic gate only require one power excitation compared with IMPLY, MAD and XOR logic gate in [8], which reduces the complexity of peripheral circuits. Furthermore, the proposed XOR logic gate also has the function of half adder.…”

Section: Comparisonmentioning

confidence: 99%

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Design of Memristor-based XOR Logic Gate and Half Adder

et al. 2022

J. Phys.: Conf. Ser.

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The non-volatile logic unit based on memristor can build a computing architecture which integrates processor and memory. A novel XOR logic gate as well as half adder with four memristors, one NMOS and one power excitation is proposed in this study. The constraints on the NMOS and power excitation are also presented. The effectiveness of the XOR logic gate proposed is confirmed by the simulation results of LTSPICE. Compared with several prior schemes, the design has better performance in terms of power consumption, operation steps and architecture complexity.

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Section: Comparisonmentioning

confidence: 99%

“…Furthermore, the proposed XOR logic gate also has the function of half adder. MRL in [10] MAD logic in [11] Logic in [8] Proposed logic…”

Section: Comparisonmentioning

confidence: 99%

Design of Memristor-based XOR Logic Gate and Half Adder

et al. 2022

J. Phys.: Conf. Ser.

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“…Several studies have already shown that this neuronal structure and transmission similar to those of the human brain have great advantages in building memristor neural networks, providing a promising non-von Neumann computational paradigm and, thus, a certain degree of significant speed and energy efficiency. In addition, memristors have made great progress not only in the hardware of neural networks [ 11 , 12 , 13 , 14 , 15 , 16 , 17 ], but also are widely used in many fields such as information storage [ 18 , 19 ], nonlinear dynamics [ 20 , 21 ], neuronal models [ 22 , 23 ], nonvolatile logic [ 24 , 25 ], and chaotic circuits [ 26 , 27 , 28 ]. Several research results have now shown the realizability of hardware RC systems, such as using spintronic oscillators [ 29 , 30 ], photonic techniques [ 31 , 32 , 33 ], or memristors [ 34 , 35 , 36 , 37 , 38 ].…”

Section: Introductionmentioning

confidence: 99%

Reservoir Computing-Based Design of ZnO Memristor-Type Digital Identification Circuits

et al. 2022

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Reservoir Computing (RC) is a network architecture inspired by biological neural systems that maps time-dimensional input features to a high-dimensional space for computation. The key to hardware implementation of the RC system is whether sufficient reservoir states can be generated. In this paper, a laboratory-prepared zinc oxide (ZnO) memristor is reported and modeled. The device is found to have nonlinear dynamic responses and characteristics of simulating neurosynaptic long-term potentiation (LTP) and long-term depression (LTD). Based on this, a novel two-level RC structure based on the ZnO memristor is proposed. Novel synaptic encoding is used to maintain stress activity based on the characteristics of after-discharge and proneness to fatigue during synaptic transmission. This greatly alleviates the limitations of the self-attenuating characteristic reservoir of the duration and interval of the input signal. This makes the reservoir, in combination with a fully connected neural network, an ideal system for time series classification. The experimental results show that the recognition rate for the complete MNIST dataset is 95.08% when 35 neurons are present as hidden layers while achieving low training consumption.

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“…What is more, some other applications of memristors are in programmable logic [11], signal processing [12], super-resolution imaging [13], physical neural networks [14], control systems [15], reconfigurable computing [16], brain-computer interfaces [17] and RFID (radio-frequency identification) [18]. Additionally, memristive devices are used for stateful logic implication, allowing a replacement for CMOS (complementary metal-oxide-semiconductor) based logic computation [19]. Several early works have been reported in this direction [20,21].…”

Section: Introductionmentioning

confidence: 99%

Antimonotonicity, Hysteresis and Coexisting Attractors in a Shinriki Circuit with a Physical Memristor as a Nonlinear Resistor

2022

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A novel approach to the physical memristor’s behavior of the KNOWM is presented in this work. The KNOWM’s memristor’s intrinsic feature encourages its use as a nonlinear resistor in chaotic circuits. Furthermore, this memristor has been shown to act like a static nonlinear resistor under certain situations. Consequently, for the first time, the KNOWM memristor is used as a static nonlinear resistor in the well-known chaotic Shinriki oscillator. In order to examine the circuit’s dynamical behavior, a host of nonlinear simulation tools, such as phase portraits, bifurcation and continuation diagrams, as well as a maximal Lyapunov exponent diagram, are used. Interesting phenomena related to chaos theory are observed. More specifically, the entrance to chaotic behavior through the antimonotonicity phenomenon is observed. Furthermore, the hysteresis phenomenon, as well as the existence of coexisting attractors in regards to the initial conditions and the parameters of the system, are investigated. Moreover, the period-doubling route to chaos and crisis phenomena are observed too.

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Memristor‐based stateful logic gates for multi‐functional logic circuit

Cited by 17 publications

References 31 publications

Design of Memristor-based XOR Logic Gate and Half Adder

Design of Memristor-based XOR Logic Gate and Half Adder

Reservoir Computing-Based Design of ZnO Memristor-Type Digital Identification Circuits

Antimonotonicity, Hysteresis and Coexisting Attractors in a Shinriki Circuit with a Physical Memristor as a Nonlinear Resistor

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