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It is rigorously proved that ideal memcapacitors and meminductors are not passive or lossless devices, nor are they satisfying the weaker notion of cyclo-passivity, which arises when dropping the requirement of non-negativity of the storage…

Systems and Control · Electrical Eng. & Systems 2020-10-08 Dimitri Jeltsema , Arjan van der Schaft

Real-time detection of moving objects involves memorisation of features in the template image and their comparison with those in the test image. At high sampling rates, such techniques face the problems of high algorithmic complexity and…

Computer Vision and Pattern Recognition · Computer Science 2014-10-07 Akshay Kumar Maan , Dinesh Sasi Kumar , Sherin Sugathan , Alex Pappachen James

Nonlinearity is a crucial characteristic for implementing hardware security primitives or neuromorphic computing systems. The main feature of all memristive devices is this nonlinear behavior observed in their current-voltage…

Emerging Technologies · Computer Science 2025-01-22 Sahitya Yarragolla , Torben Hemke , Fares Jalled , Tobias Gergs , Jan Trieschmann , Tolga Arul , Thomas Mussenbrock

In-memory computing technology is used extensively in artificial intelligence devices due to lower power consumption and fast calculation of matrix-based functions. The development of such a device and its integration in a system takes a…

Electromechanical models are crucial in the design and control of motors and actuators. Modeling, identification, drive, and current control loop of a limited-rotation actuator with magnetic restoration is presented. New nonlinear and…

Systems and Control · Electrical Eng. & Systems 2024-04-12 Sajjad Mohammadi , William R. Benner , James L. Kirtley , Jeffrey H. Lang

Memristors are among the most promising elements for modern microelectronics, having unique properties such as quasi-continuous change of conductance and long-term storage of resistive states. However, identifying the physical mechanisms of…

Mesoscale and Nanoscale Physics · Physics 2022-05-25 Oleg G. Kharlanov , Boris S. Shvetsov , Vladimir V. Rylkov , Anton A. Minnekhanov

In conventional digital computers, data and information are represented in binary form and encoded in the steady states of transistors. They are then processed in a quasi-static way. However, with transistors approaching their physical…

Applied Physics · Physics 2023-05-12 Zhao Yuanxi , Duan Wenrui , Li Huanglong

As data-intensive applications increasingly strain conventional computing systems, processing-in-memory (PIM) has emerged as a promising paradigm to alleviate the memory wall by minimizing data transfer between memory and processing units.…

Emerging Technologies · Computer Science 2026-02-05 Thomas Neuner , Henriette Padberg , Lior Kornblum , Eilam Yalon , Pedram Khalili Amiri , Shahar Kvatinsky

Can we change the average state of a resistor by simply applying white noise? We show that the answer to this question is positive if the resistor has memory of its past dynamics (a memristive system). We also prove that, if the memory…

Mesoscale and Nanoscale Physics · Physics 2013-04-09 V. A. Slipko , Y. V. Pershin , M. Di Ventra

With the advent of the Internet of Things, nanoelectronic devices or memristors have been the subject of significant interest for use as new hardware security primitives. Among the several available memristors, BiFe$\rm O_{3}$ (BFO)-based…

Emerging Technologies · Computer Science 2022-10-10 Sahitya Yarragolla , Nan Du , Torben Hemke , Xianyue Zhao , Ziang Chen , Ilia Polian , Thomas Mussenbrock

We propose the interaction of two quantum memristors via capacitive and inductive coupling in feasible superconducting circuit architectures. In this composed system the input gets correlated in time, which changes the dynamic response of…

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

This paper proposes a variable metric splitting algorithm to solve the electrical behavior of neuromorphic circuits made of capacitors, memristive elements, and batteries. The gradient property of the memristive elements is exploited to…

Systems and Control · Electrical Eng. & Systems 2025-04-10 Amir Shahhosseini , Thomas Burger , Rodolphe Sepulchre

Memristive devices hold promise to improve the scale and efficiency of machine learning and neuromorphic hardware, thanks to their compact size, low power consumption, and the ability to perform matrix multiplications in constant time.…

Emerging Technologies · Computer Science 2024-08-14 Zhenming Yu , Ming-Jay Yang , Jan Finkbeiner , Sebastian Siegel , John Paul Strachan , Emre Neftci

The synapse is a key element of neuromorphic computing in terms of efficiency and accuracy. In this paper, an optimized current-controlled memristive synapse circuit is proposed. Our proposed synapse demonstrates reliability in the face of…

Emerging Technologies · Computer Science 2023-09-11 Hritom Das , Rocco D. Febbo , Charlie P. Rizzo , Nishith N. Chakraborty , James S. Plank , Garrett S. Rose

The advent of deep learning has resulted in a number of applications which have transformed the landscape of the research area in which it has been applied. However, with an increase in popularity, the complexity of classical deep neural…

Emerging Technologies · Computer Science 2022-08-24 Venkatesh Rammamoorthy , Geng Zhao , Bharathi Reddy , Ming-Yang Lin

In this work, we report implementation and performance evaluation of memristor-driven fundamental logic gates, including NOT, AND, NAND, OR, NOR, and XOR, and novel and optimized design of the sequential logic circuits, such as D flip-flop,…

Hardware Architecture · Computer Science 2026-02-17 Paras Tiwari , Narendra Singh Dhakad , Shalu Rani , Sanjay Kumar , Themis Prodromakis

A model of two self-sustained oscillators interacting through memristive coupling is studied. Memristive coupling is realized by using a cubic memristor model. Numerical simulation is combined with theoretical analysis by means of…

Chaotic Dynamics · Physics 2019-07-16 Ivan A. Korneev , Vladimir V. Semenov , Tatiana E. Vadivasova

With the increase of the speed of computers, timing and power requirements are becoming crucial for memory devices. The main objective of the paper is to modify 180nm CMOS sense amplifier design by using memristive devices and improve the…

Emerging Technologies · Computer Science 2019-08-28 Yerlan Amanzholov , Olga Krestinskaya

Experimental study of a uni junction transistor (UJT) has enabled to show that this electronic component has the same features as the so-called "memristor". So, we have used the memristor's direct current (DC) vM--iM characteristic for…

Systems and Control · Electrical Eng. & Systems 2019-09-02 Jean-Marc Ginoux , Riccardo Meucci , Stefano Euzzor , Angelo Di Garbo
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