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Continued progress in high speed computing depends on breakthroughs in both materials synthesis and device architectures. The performance of logic and memory can be enhanced significantly by introducing a memristor, a two terminal device…

Mesoscale and Nanoscale Physics · Physics 2015-04-08 V. K. Sangwan , D. Jariwala , I. S. Kim , K. -S. Chen , T. J. Marks , L. J. Lauhon , M. C. Hersam

Emerging nano-scale programmable Resistive-RAM (RRAM) has been identified as a promising technology for implementing brain-inspired computing hardware. Several neural network architectures, that essentially involve computation of scalar…

Emerging Technologies · Computer Science 2015-12-02 Aranya Goswamy , Sagar Kumashi , Vikash Sehwag , Siddharth Kumar Singh , Manny Jain , Kaushik Roy , Mrigank Sharad

In recent times, neural networks have been gaining increasing importance in fields such as pattern recognition and computer vision. However, their usage entails significant energy and hardware costs, limiting the domains in which this…

This paper presents a memristor-based compute-in-memory hardware accelerator for on-chip training and inference, focusing on its accuracy and efficiency against device variations, conductance errors, and input noise. Utilizing realistic…

Neural and Evolutionary Computing · Computer Science 2024-08-28 M. Reza Eslami , Dhiman Biswas , Soheib Takhtardeshir , Sarah S. Sharif , Yaser M. Banad

In the "Big Data" era, a lot of data must be processed and moved between processing and memory units. New technologies and architectures have emerged to improve system performance and overcome the memory bottleneck. The memristor is a…

Hardware Architecture · Computer Science 2026-02-26 Seyed Erfan Fatemieh , Samane Asgari , Mohammad Reza Reshadinezhad

With power consumption becoming a critical processor design issue, specialized architectures for low power processing are becoming popular. Several studies have shown that neural networks can be used for signal processing and pattern…

Hardware Architecture · Computer Science 2016-06-16 Raqibul Hasan , Tarek M. Taha , Chris Yakopcic , David J. Mountain

Security is a growing problem that needs hardware support. Memristors provide an alternative technology for hardware-supported security implementation. This paper presents a specific technique that utilizes the benefits of hybrid…

Cryptography and Security · Computer Science 2024-02-16 Muayad J. Aljafar , Rasika Joshi , John M. Acken

In this letter, a reactance-less mono-stable oscillator is introduced for the first time using memristors. By replacing bulky inductors and capacitors with memristors, the novel mono-stable oscillator can be an area-efficient solution for…

Emerging Technologies · Computer Science 2012-07-05 A. T. Bahgat , K. N. Salama

The classic three-terminal electronic transistors and the emerging two-terminal ion-based memristors are complementary to each other in various nonconventional information processing systems in a heterogeneous integration approach, such as…

Applied Physics · Physics 2023-01-06 Yifei Yang , Lujie Xu , Mingkun Xu , Huan Liu , Dameng Liu , Wenrui Duan , Jing Pei , Huanglong Li

Reasoned by its dynamical behavior, the memristor enables a lot of new applications in analog circuit design. Since some realizations are shown (e.g. 2007 by Hewlett Packard), the development of applications with memristors becomes more and…

Materials Science · Physics 2013-02-19 Oliver Pabst , Torsten Schmidt

We report multifunctional operation based on the nonlinear dynamics in a single microelectromechanical system (MEMS) resonator. This Letter focuses on a logic-memory device that uses a closed loop control and a nonlinear MEMS resonator in…

Mesoscale and Nanoscale Physics · Physics 2014-09-29 Atsushi Yao , Takashi Hikihara

Brain-inspired computing aims to mimic cognitive functions like associative memory, the ability to recall complete patterns from partial cues. Memristor technology offers promising hardware for such neuromorphic systems due to its potential…

Machine Learning · Computer Science 2025-05-20 Chengping He , Mingrui Jiang , Keyi Shan , Szu-Hao Yang , Zefan Li , Shengbo Wang , Giacomo Pedretti , Jim Ignowski , Can Li

The possible use of spin and magnets in place of charge and capacitors to store and process information is well known. Magnetic tunnel junctions are being widely investigated and developed for magnetic random access memories. These are two…

Mesoscale and Nanoscale Physics · Physics 2014-11-26 Behtash Behin-Aein , Jian-Ping Wang , Roland Wiesendanger

Memcomputing logic gates generalize the traditional Boolean logic gates for operation in the reverse direction. According to the literature, this functionality enables the efficient solution of computationally-intensive problems including…

Emerging Technologies · Computer Science 2024-02-02 Y. V. Pershin

Memristor (resistor with memory), inductor with memory (meminductor) and capacitor with memory (memcapacitor) have different roles to play in novel computing architectures. We found that a coil with a magnetic core is an inductor with…

Emerging Technologies · Computer Science 2025-12-15 Frank Zhigang Wang

While magnetic solid-state memory has found commercial applications to date, magnetic logic has rather remained on a conceptual level so far. Here, we discuss open challenges of different spintronic logic approaches, which use magnetic…

Emerging Technologies · Computer Science 2024-01-19 Christoph Adelmann , Florin Ciubotaru , Fanfan Meng , Sorin Cotofana , Sebastien Couet

In the strive for scalable quantum processors, significant effort is being devoted to the development of cryogenic classical hardware for the control and readout of a growing number of qubits. Here we report on a cryogenic circuit…

Quantum Physics · Physics 2021-02-10 L. Le Guevel , G. Billiot , S. De Franceschi , A. Morel , X. Jehl , A. G. M. Jansen , G. Pillonnet

Memristor-aided logic (MAGIC) design style holds a high promise for realizing digital logic-in-memory functionality. The ability to implement a specific gate in a MAGIC design style hinges on the SET-to-RESET threshold ratio. The TaOx…

Memristors are nonlinear two-terminal circuit elements whose resistance at a given time depends on past electrical stimuli. Recently, networks of memristors have received attention in neuromorphic computing since they can be used as a tool…

Optimization and Control · Mathematics 2024-09-24 Marieke Heidema , Henk van Waarde , Bart Besselink

Now a day reversible logic is an attractive research area due to its low power consumption in the area of VLSI circuit design. The reversible logic gate is utilized to optimize power consumption by a feature of retrieving input logic from…

Hardware Architecture · Computer Science 2015-09-15 Neeraj Kumar Misra , Mukesh Kumar Kushwaha , Subodh Wairya , Amit Kumar