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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 the quest for alternatives to traditional CMOS, it is being suggested that digital computing efficiency and power can be improved by matching the precision to the application. Many applications do not need the high precision that is…

Machine Learning · Computer Science 2014-10-17 Juan Pablo Carbajal , Joni Dambre , Michiel Hermans , Benjamin Schrauwen

Memory effects are ubiquitous in nature and are particularly relevant at the nanoscale where the dynamical properties of electrons and ions strongly depend on the history of the system, at least within certain time scales. We review here…

Mesoscale and Nanoscale Physics · Physics 2011-03-02 Yuriy V. Pershin , Massimiliano Di Ventra

This study investigates strategies for minimizing Joule losses in resistive random access memory (ReRAM) cells, which are also referred to as memristive devices. Typically, the structure of ReRAM cells involves a nanoscale layer of…

Emerging Technologies · Computer Science 2025-07-25 Valeriy A. Slipko , Yuriy V. Pershin

This paper examines the coexistence of resistive, capacitive, and inertia (virtual inductive) effects in memristive devices, focusing on ReRAM devices, specifically the interface-type or non-filamentary analog switching devices. A…

Mesoscale and Nanoscale Physics · Physics 2024-01-30 Sahitya Yarragolla , Torben Hemke , Jan Trieschmann , Thomas Mussenbrock

Memristors, which are characterized by their unique input-voltage-history-dependent resistance, have garnered significant attention for the exploration of next-generation in-memory computing, reconfigurable logic circuits, and neural…

We have measured the transition process from the high to low resistivity states, i.e., the reset process of resistive switching based memristors based on Ni/HfO2/Si-n+ structures, and have also developed an analytical model for their…

A tungsten filament immersed in superfluid helium has strong hysteretic $I$-$V$ characteristics. By increasing the applied voltage, a remarkable current drop occurs at a transition voltage, at which the filament enters a non-ohmic hot state…

Applied Physics · Physics 2021-01-01 Che-Chi Shih , Ming-Huei Huang , Pang-Chia Chang , Po-Wei Yu , Wen-Bin Jian , Kimitoshi Kono

A powerful time series analysis modeling technique is presented to describe cycle-to-cycle variability in memristors. These devices show variability linked to the inherent stochasticity of device operation and it needs to be accurately…

Mesoscale and Nanoscale Physics · Physics 2024-02-08 Francisco J. Alonso , David Maldonado , Ana M. Aguilera , Juan B. Roldán

A dynamic systems model has previously been proposed for mem-resistors based on a driven damped harmonic oscillator differential equation describing electron and ionic depletion widths in a thin semiconductor film. This paper derives…

Mesoscale and Nanoscale Physics · Physics 2011-06-29 Blaise Mouttet

In-memory computing is an emerging non-von Neumann computing paradigm where certain computational tasks are performed in memory by exploiting the physical attributes of the memory devices. Memristive devices such as phase-change memory…

Emerging Technologies · Computer Science 2020-04-08 Anastasios Petropoulos , Irem Boybat , Manuel Le Gallo , Evangelos Eleftheriou , Abu Sebastian , Theodore Antonakopoulos

In 2008, researchers at HP Labs published a paper in {\it Nature} reporting the realisation of a new basic circuit element that completes the missing link between charge and flux-linkage, which was postulated by Leon Chua in 1971. The HP…

Mesoscale and Nanoscale Physics · Physics 2015-05-18 O. Kavehei , A. Iqbal , Y. S. Kim , K. Eshraghian , S. F. Al-Sarawi , D. Abbott

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

Scan and ring schemes of the pseudo-ring memory selftesting are investigated. Both schemes are based on emulation of the linear or nonlinear feedback shift register by memory itself. Peculiarities of the pseudo-ring schemes implementation…

Hardware Architecture · Computer Science 2011-06-21 Diana Bodean , Ghenadie Bodean , Wajeb Gharibi

Memristor device modeling is currently a heavily researched topic and is becoming ever more important as memristor devices make their way into CMOS circuit designs, necessitating accurate and efficient memristor circuit simulations. In this…

Emerging Technologies · Computer Science 2017-04-27 Timothy W. Molter , M. Alexander Nugent

Emerging memristor-based array architectures have been effectively employed in non-volatile memories and neuromorphic computing systems due to their density, scalability and capability of storing information. Nonetheless, to demonstrate a…

Emerging Technologies · Computer Science 2022-05-18 Jiawei Shen , Andrea Mifsud , Lijie Xie , Abdulaziz Alshaya , Christos Papavassiliou

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

The fundamental building blocks of modern silicon-based microelectronics, such as double gate transistors in non-volatile Flash memories, are based on the control of electrical resistance by electrostatic charging. Flash memories could soon…

Materials Science · Physics 2013-04-23 Laurent Cario , Cristian Vaju , Benoit Corraze , Vincent Guiot , Etienne Janod

Magneto-Electric FET (MEFET) is a recently developed post-CMOS FET, which offers intriguing characteristics for high speed and low-power design in both logic and memory applications. In this paper, for the first time, we propose a…

Emerging Technologies · Computer Science 2020-09-15 Shaahin Angizi , Navid Khoshavi , Andrew Marshall , Peter Dowben , Deliang Fan

In-memory computing (IMC) is an effectual solution for energy-efficient artificial intelligence applications. Analog IMC amortizes the power consumption of multiple sensing amplifiers with analog-to-digital converter (ADC), and…

Emerging Technologies · Computer Science 2021-10-11 Hao Cai , Yanan Guo , Bo Liu , Mingyang Zhou , Juntong Chen , Xinning Liu , Jun Yang
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