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Current micro nanomechanical system are usually based on rigid crystalline semiconductors that normally have high quality factors but lack adaptive responses to variable frequencies, a capability ubiquitous for communications in the…

We present a phenomenological theory of filamentary resistive random access memory (RRAM) describing the commonly observed features of their current-voltage characteristics. Our approach follows the approach of thermodynamic theory…

Mesoscale and Nanoscale Physics · Physics 2017-09-06 Victor Karpov , Dipesh Niraula , Ilya Karpov , Roza Kotlyar

Resonant (elastic) soft x-ray scattering (RSXS) offers a unique element, site, and valence specific probe to study spatial modulations of charge, spin, and orbital degrees of freedom in solids on the nanoscopic length scale. It cannot only…

Materials Science · Physics 2013-04-12 J. Fink , E. Schierle , E. Weschke , J. Geck

The emergence of resistive non-volatile memories opens the way to highly energy-efficient computation near- or in-memory. However, this type of computation is not compatible with conventional ECC, and has to deal with device unreliability.…

Emerging Technologies · Computer Science 2020-07-14 Marc Bocquet , Tifenn Hirtzlin , Jacques-Olivier Klein , Etienne Nowak , Elisa Vianello , Jean-Michel Portal , Damien Querlioz

In this paper we describe a stretchable solid-state electronic switching material that operates at high voltage potentials, as well as a switch material benchmarking technique that utilizes a modular dielectric elastomer (artificial muscle)…

Materials Science · Physics 2016-03-15 Nixon Chau , Geoffrey A. Slipher , Benjamin M. OBrien , Randy A. Mrozek , Iain A. Anderson

A memristor, a two-terminal nanodevice, has garnered substantial attention in recent years due to its distinctive properties and versatile applications. These nanoscale components, characterized by their simplicity of manufacture,…

Applied Physics · Physics 2025-02-20 Nikolaos Vasileiadis , Georgios Ch Sirakoulis , Panagiotis Dimitrakis

This work presents a comprehensive analysis of the variability and reliability of the resistive switching (RS) behavior in Prussian Blue (a mixed-valence iron(III/II) hexacyanoferrate compound) thin films, used as the active layer. These…

Materials Science · Physics 2025-05-20 L. B. Avila , A. Cantudo , M. A. Villena , D. Maldonado , F. Abreu Araujo , C. K. Müller , J. B. Roldán

We report on resistive switching (RS) characteristics of W/WO3-x/Pt-based thin film memristors modulated by precisely controlled oxygen non-stoichiometry. RS properties of the devices with varied oxygen vacancy (VO) concentration have been…

Applied Physics · Physics 2022-11-29 Krishna Rudrapal , Biswajit Jana , Venimadhav Adyam , Ayan Roy Chaudhuri

Progress of silicon based technology is nearing its physical limit, as minimum feature size of components is reaching a mere 10 nm. The resistive switching behaviour of transition metal oxides and the associated memristor device is emerging…

Flexibility at hardware level is the main driving force behind adaptive systems whose aim is to realise microarhitecture deconfiguration 'online'. This feature allows the software/hardware stack to tolerate drastic changes of the workload…

Hardware Architecture · Computer Science 2016-12-28 Ana Lava , Mahdi Jelodari Mamaghani , Siamak Mohammadi , Steve Furber

Magnetoresistance (MR) is a characteristic that the resistance of a substance changes with the external magnetic field, reflecting various physical origins and microstructures of the substance. A large MR, namely a huge response to a low…

Materials Science · Physics 2022-03-24 Rui Niu , W. K. Zhu

A fundamental assumption in our understanding of material rheology is that when microscopic deformations are reversible, the material responds elastically to external loads. Plasticity, i.e. dissipative and irreversible macroscopic changes…

Soft Condensed Matter · Physics 2009-11-13 M. Lundberg , K. Krishan , N. Xu , C. S. O'Hern , M. Dennin

Binary stochastic neurons (BSNs) are excellent hardware accelerators for machine learning. A popular platform for implementing them are low- or zero-energy barrier nanomagnets possessing in-plane magnetic anisotropy (e.g. circular disks or…

Mesoscale and Nanoscale Physics · Physics 2022-11-16 Rahnuma Rahman , Supriyo Bandyopadhyay

Memristors have demonstrated immense potential as building blocks in future adaptive neuromorphic architectures. Recently, there has been focus on emulating specific synaptic functions of the mammalian nervous system by either tailoring the…

Disordered Systems and Neural Networks · Physics 2018-04-19 Taimur Ahmed , Sumeet Walia , Edwin Mayes , Rajesh Ramanathan , Vipul Bansal , Madhu Bhaskaran , Sharath Sriram , Omid Kavehei

For the upcoming 6G wireless networks, reconfigurable intelligent surfaces are an essential technology, enabling dynamic beamforming and signal manipulation in both reflective and transmissive modes. It is expected to utilize frequency…

Highly accurate and predictive models of resistive switching devices are needed to enable future memory and logic design. Widely used is the memristive modeling approach considering resistive switches as dynamical systems. Here we introduce…

Emerging Technologies · Computer Science 2015-03-02 E. Linn , A. Siemon , R. Waser , S. Menzel

Reconfigurable intelligent surfaces (RISs) have emerged as a cost- and energy-efficient technology that can customize and program the physical propagation environment by reflecting radio waves in preferred directions. However, the purely…

Signal Processing · Electrical Eng. & Systems 2021-06-21 Nhan Thanh Nguyen , Jiguang He , Van-Dinh Nguyen , Henk Wymeersch , Derrick Wing Kwan Ng , Robert Schober , Symeon Chatzinotas , Markku Juntti

Embedding magnetic colloidal particles in an elastic polymer matrix leads to smart soft materials that can reversibly be addressed from outside by external magnetic fields. We discover a pronounced nonlinear superelastic stress-strain…

Soft Condensed Matter · Physics 2015-10-28 Peet Cremer , Hartmut Löwen , Andreas M. Menzel

We report on the fabrication of dendrimer sandwich devices with electrical switching and memory properties. The storage media is consisted of a redox-gradient dendrimer layer sandwiched in organic barrier thin films. The dendrimer layer…

Materials Science · Physics 2009-04-28 JianChang Li , Silas C. Blackstock , Greg J. Szulczewski

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