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The present paper investigates state space analysis of memristor based series and parallel RLCM circuits. The stability analysis is carried out with the help of eigenvalues formulation method, pole-zero plot and transient response of…

Emerging Technologies · Computer Science 2016-02-19 T. D. Dongale , P. K. Gaikwad , R. K. Kamat

Resistive memories (RRAM) are promising candidates for replacing present nonvolatile memories and realizing storage class memories; hence resistance switching devices are of particular interest. These devices are typically memristive, with…

Applied Physics · Physics 2025-02-06 N Vasileiadis , P Loukas , A Mavropoulis , P Normand , I Karafyllidis , G Ch Sirakoulis , P Dimitrakis

Conventional neuro-computing architectures and artificial neural networks have often been developed with no or loose connections to neuroscience. As a consequence, they have largely ignored key features of biological neural processing…

Emerging Technologies · Computer Science 2017-11-08 Giacomo Indiveri , Bernabe Linares-Barranco , Robert Legenstein , George Deligeorgis , Themistoklis Prodromakis

Memristors are an electronic device whose resistance depends on the voltage history that has been applied to its two terminals. Despite its clear advantage as a computational element, a suitable transport model is lacking for the special…

Emerging Technologies · Computer Science 2022-10-05 T. F. Tiotto , A. S. Goossens , A. E. Dima , C. Yakopcic , T. Banerjee , J. P. Borst , N. A. Taatgen

An ideal memristor is defined as a resistor with memory that, when subject to a time-dependent current, $I(t)$, its resistance $R_M(q)$ depends {\it only} on the charge $q$ that has flowed through it, so that its voltage response is…

Mesoscale and Nanoscale Physics · Physics 2019-09-18 Y. V. Pershin , M. Di Ventra

The ever-increasing amount of data from ubiquitous smart devices fosters data-centric and cognitive algorithms. Traditional digital computer systems have separate logic and memory units, resulting in a huge delay and energy cost for…

Applied Physics · Physics 2025-03-17 Qiming Shao , Zhongrui Wang , Yan Zhou , Shunsuke Fukami , Damien Querlioz , Leon O. Chua

A low cost, stable, programmable, unipolar current source is described. The circuit is designed in view of a modular arrangement, suitable for applications where several DC sources must be controlled at once. A hybrid switching/linear…

Instrumentation and Detectors · Physics 2017-03-09 Valerio Biancalana , Giuseppe Bevilacqua , Piero Chessa , Yordanka Dancheva , Roberto Cecchi , Leonardo Stiaccini

Reconfigurable memristors featuring neural and synaptic functions hold great potential for neuromorphic circuits by simplifying system architecture, cutting power consumption, and boosting computational efficiency. Their additive…

In this paper, we show that the dynamics of a wide variety of nonlinear systems such as engineering, physical, chemical, biological, and ecological systems, can be simulated or modeled by the dynamics of memristor circuits. It has the…

Chaotic Dynamics · Physics 2019-02-22 Makoto Itoh

Memristors are non-volatile nano-resistors. Their resistance can be tuned by applied currents or voltages and set to a large number of levels between two limit values. Thanks to these properties, memristors are ideal building blocks for a…

Mesoscale and Nanoscale Physics · Physics 2016-05-26 Steven Lequeux , Joao Sampaio , Vincent Cros , Kay Yakushiji , Akio Fukushima , Rie Matsumoto , Hitoshi Kubota , Shinji Yuasa , Julie Grollier

A semiconductor diode laser having a modified Littrow external resonator is described. An additional output coupling mirror in a V-shape configuration of the resonator makes the system more efficient and convenient to operate.

Optics · Physics 2007-05-23 O. I. Permyakova , A. V. Yakovlev , P. L. Chapovsky

Memristors are low-power memory-holding resistors thought to be useful for neuromophic computing, which can compute via spike-interactions mediated through the device's short-term memory. Using interacting spikes, it is possible to build an…

Emerging Technologies · Computer Science 2018-01-09 Ella M. Gale

Metallic oxides encased within Metal-Insulator-Metal (MIM) structures can demonstrate both unipolar and bipolar switching mechanisms, rendering them the capability to exhibit a multitude of resistive states and ultimately function as memory…

Mesoscale and Nanoscale Physics · Physics 2012-06-14 Marcus Wu Shihong , Themistoklis Prodromakis , Iulia Salaoru , Christofer Toumazou

Molecular conduction channels between two ferromagnetic electrodes can produce strong exchange coupling and dramatic effect on the spin transport, thus enabling the realization of novel logic and memory devices. However, fabrication of…

Mesoscale and Nanoscale Physics · Physics 2019-12-04 Pawan Tyagi

Memristive devices have drawn considerable research attention due to their potential applications in non-volatile memory and neuromorphic computing. The combination of resistive switching devices with light-responsive materials is…

Applied Physics · Physics 2020-09-22 Kamalakannan Ranganathan , Mor Feingenbaum , Ariel Ismach

The modeling of conventional (deterministic) electronic circuits - ones consisting of transistors, resistors, capacitors, inductors, and other traditional electronic components - is a well-established subject. The cycle-to-cycle variability…

Emerging Technologies · Computer Science 2023-10-03 V. J. Dowling , V. A. Slipko , Y. V. Pershin

Analog memory is of great importance in neurocomputing technologies field, but still remains difficult to implement. With emergence of memristors in VLSI technologies the idea of designing scalable analog data storage elements finds its…

Emerging Technologies · Computer Science 2017-09-14 Aidana Irmanova , Alex Pappachen James

A generalized approach for the implementation of memristive two-terminal circuits with piesewise-smooth characteristics is proposed on the example of a multifunctional circuit based on a transistor switch. Two versions of the circuit are…

Adaptation and Self-Organizing Systems · Physics 2022-10-06 Vladimir V. Semenov

Memristors are expected to form a major cornerstone in the upcoming renaissance of analog computing, owing to their very small spatial footprint and low power consumption. Due to the nature of their structure and operation, the response of…

Mesoscale and Nanoscale Physics · Physics 2023-02-17 Roland Konlechner , Anis Allagui , Vladimir N. Antonov , Dmitry Yudin

Existing compact models for memristive devices (including RRAM and CBRAM) all suffer from issues related to mathematical ill-posedness and/or improper implementation. This limits their value for simulation and design and in some cases,…

Emerging Technologies · Computer Science 2016-05-18 Tianshi Wang , Jaijeet Roychowdhury
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