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We demonstrated an electric field controlled exchange bias (EB) effect accompanied with unipolar resistive switching behavior in the Si/SiO2/Pt/Co/NiO/Pt device. By applying certain voltages, the device displays obvious EB in…

Materials Science · Physics 2017-10-06 L. J. Wei , Z. Z. Hu , Y. J. Wang , G. X. Du , Y. Yuan , J. Wang , H. Q. Tu , B. You , S. M. Zhou , Y. Hu , J. Du

The resistance state of filamentary memristors can be tuned by relocating only a few atoms at interatomic distances in the active region of a conducting filament. Thereby the technology holds promise not only in its ultimate downscaling…

Mesoscale and Nanoscale Physics · Physics 2023-06-08 Miklós Csontos , Yannik Horst , Nadia Jimenez Olalla , Ueli Koch , Ivan Shorubalko , András Halbritter , Juerg Leuthold

Physically accurate and mathematically tractable models are presented to characterize scattering and reflection properties of reconfigurable intelligent surfaces (RISs). We take continuous and discrete strategies to model a single patch and…

Systems and Control · Electrical Eng. & Systems 2022-08-31 Tiebin Mi , Jianan Zhang , Rujing Xiong , Zhengyu Wang , Robert Caiming Qiu

The reliability of any day-to-day material is critically dictated by its properties. One factor which governs the behaviour of a material, under a given condition, is the microstructure. Despite the absence of any phase transformation, a…

Materials Science · Physics 2019-06-26 P G Kubendran Amos

To meet the growing demand for high data rates, cellular systems are expected to evolve towards higher carrier frequencies and larger antenna arrays, but conventional phased arrays face challenges in supporting such a prospection due to…

Signal Processing · Electrical Eng. & Systems 2025-02-06 Zicheng Lin , Shuhao Zeng , Aryan Kaushik , Hongliang Zhang

Neural Radiance Fields (NeRF) have demonstrated impressive performance in novel view synthesis. However, NeRF and most of its variants still rely on traditional complex pipelines to provide extrinsic and intrinsic camera parameters, such as…

Computer Vision and Pattern Recognition · Computer Science 2023-12-15 Qingsong Yan , Qiang Wang , Kaiyong Zhao , Jie Chen , Bo Li , Xiaowen Chu , Fei Deng

The mechanosensitivity of cells, which determines how they are able to respond to mechanical signals received from their environment, is crucial for the functioning of all biological systems. In experiments, cells placed on cyclically…

Biological Physics · Physics 2019-01-17 John J. Molina , Ryoichi Yamamoto

The maximum achievable rate is derived for resistive random-access memory (ReRAM) channel with sneak path interference. Based on the mutual information spectrum analysis, the maximum achievable rate of ReRAM channel with independent and…

Information Theory · Computer Science 2024-10-10 Guanghui Song , Kui Cai , Ying Li , Kees A. Schouhamer Immink

Resistive random access memory (ReRAM) is a promising technology that can perform low-cost and in-situ matrix-vector multiplication (MVM) in analog domain. Scientific computing requires high-precision floating-point (FP) processing.…

Hardware Architecture · Computer Science 2023-10-18 Linghao Song , Fan Chen , Xuehai Qian , Hai Li , Yiran Chen

The effects of a radiation field (RF) on the unstable modes developed in relativistic electron beam--plasma interaction are investigated assuming that $\omega_{0} >\omega_{p}$, where $\omega_{0}$ is the frequency of the RF and $\omega_{p}$…

Plasma Physics · Physics 2015-06-04 Hrachya B. Nersisyan , Claude Deutsch

Data-driven modeling approaches such as jump tables are promising techniques to model populations of resistive random-access memory (ReRAM) or other emerging memory devices for hardware neural network simulations. As these tables rely on…

Emerging Technologies · Computer Science 2024-04-30 Osama Yousuf , Imtiaz Hossen , Matthew W. Daniels , Martin Lueker-Boden , Andrew Dienstfrey , Gina C. Adam

We present a framework dedicated to modelling the resistive switching operation of Valence Change Memory (VCM) cells. The method combines an atomistic description of the device structure, a Kinetic Monte Carlo (KMC) model for the creation…

Materials Science · Physics 2022-11-23 Manasa Kaniselvan , Mathieu Luisier , Marko Mladenović

The memory consistency model is a fundamental system property characterizing a multiprocessor. The relative merits of strict versus relaxed memory models have been widely debated in terms of their impact on performance, hardware complexity…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-04-07 Alexander Jaffe , Thomas Moscibroda , Laura Effinger-Dean , Luis Ceze , Karin Strauss

We analyse the behaviour of the linear phase of the Rayleigh-Taylor instability (RTI) in the presence of a foam. Such a problem may be relevant, for example, to some inertial confinement fusion (ICF) scenarios such as foams within the…

Plasma Physics · Physics 2026-05-21 Antoine Bret , Audrey DeVault , Skylar Dannhoff , Maria Gatu Johnson , Chikang Li , Johan Frenje

Electrostatically actuated nanotubes and nanowires have many promising applications as nano-switches, ultra sensitive sensors and signal processing elements. These devices can be modelled as slender beams with circular cross-section. In…

Mesoscale and Nanoscale Physics · Physics 2011-04-26 A. Bhushan , M. M. Inamdar , D. N. Pawaskar

Redox-based resistive switching devices (ReRAM) are an emerging class of non-volatile storage elements suited for nanoscale memory applications. In terms of logic operations, ReRAM devices were suggested to be used as programmable…

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

We present a multiscale simulation framework to compute the current vs. voltage (I-V ) characteristics of metal/oxide/metal structures building the core of conductive bridging random access memory (CBRAM) cells and to shed light on their…

The goal of this thesis is to gain new insights into the drift phenomenon and identify strategies to mitigate it. An extensive experimental characterization of PCM devices and in particular drift forms the foundation of each chapter. With…

Applied Physics · Physics 2024-01-19 Benedikt Kersting

It has been recently observed that synthetic materials subjected to an external elastic stress give rise to scaling phenomena in the acoustic emission signal. Motivated by this experimental finding we develop a mesoscopic model in order to…

Materials Science · Physics 2008-02-03 Stefano Zapperi , Alessandro Vespignani , H. Eugene Stanley

Phase-change memory (PCM) is a scalable and low latency non-volatile memory (NVM) technology that has been proposed to serve as storage class memory (SCM), providing low access latency similar to DRAM and often approaching or exceeding the…

Hardware Architecture · Computer Science 2020-12-01 Shihao Song , Anup Das
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