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Resistive switching (RS) devices, based on soft materials such as organic, biomolecules as well as natural plant extracts etc., has emerged as a promising alternative to the conventional memory technologies. They offer simple device…

材料科学 · 物理学 2025-12-12 Rahul Deb , Debajyoti Bhattacharjee , Syed Arshad Hussain

Memory has always been a building block element for information technology. Emerging technologies such as artificial intelligence, big data, the internet of things, etc., require a novel kind of memory technology that can be energy…

材料科学 · 物理学 2022-05-12 Anurag Pritam , Ritu Gupta , Prakash Chandra Mondal

Resistance switching random access memory (ReRAM), with the ability to repeatedly modulate electrical resistance, has been highlighted as a feasible high-density memory with the potential to replace negative-AND (NAND) flash memory. Such…

介观与纳米尺度物理 · 物理学 2018-04-11 Yang Lu , Jung Ho Yoon , Yanhao Dong , I-Wei Chen

Organic electronics is very promising due to the flexibility, modifiability as well as variety of the available organic molecules. Efforts are going on to use organic materials for the realization of memory devices. In this regard resistive…

应用物理 · 物理学 2020-05-05 Bapi Dey , Surajit Sarkar , Hritinava Banik , Syed Arshad Hussain

Nanometallic devices based on amorphous insulator-metal thin films are developed to provide a novel non-volatile resistance-switching random-access memory (RRAM). In these devices, data recording is controlled by a bipolar voltage, which…

材料科学 · 物理学 2014-12-08 Xiang Yang

Resistive memories are outstanding electron devices that have displayed a large potential in a plethora of applications such as nonvolatile data storage, neuromorphic computing, hardware cryptography, etc. Their fabrication control and…

Resistive random-access memory (RRAM) is gaining popularity due to its ability to offer computing within the memory and its non-volatile nature. The unique properties of RRAM, such as binary switching, multi-state switching, and device…

新兴技术 · 计算机科学 2024-07-08 Simranjeet Singh , Farhad Merchant , Sachin Patkar

Non-Volatile Main Memories (NVMMs) have recently emerged as promising technologies for future memory systems. Generally, NVMMs have many desirable properties such as high density, byte-addressability, non-volatility, low cost, and energy…

分布式、并行与集群计算 · 计算机科学 2020-10-12 Haikun Liu , Di Chen , Hai Jin , Xiaofei Liao , Bingsheng He , Kan Hu , Yu Zhang

Resistive random access memory (RRAM) is very well known for its potential application in in-memory and neural computing. However, they often have different types of device-to-device and cycle-to-cycle variability. This makes it harder to…

新兴技术 · 计算机科学 2023-08-08 Rajalekshmi TR , Rinku Rani Das , Chithra R , Alex James

The necessity of having an electronic device working in relevant biological time scales with a small footprint boosted the research of a new class of emerging memories. Ag-based volatile resistive switching memories (RRAMs) feature a…

新兴技术 · 计算机科学 2024-02-08 Saverio Ricci , David Kappel , Christian Tetzlaff , Daniele Ielmini , Erika Covi

We survey the current state of phase change memory (PCM), a non-volatile solid-state memory technology built around the large electrical contrast between the highly-resistive amorphous and highly-conductive crystalline states in so-called…

The storage industry is moving toward emerging non-volatile memories (NVMs), including the spin-transfer torque magnetoresistive random-access memory (STT-MRAM) and the phase-change memory (PCM), owing to their high density and low-power…

新兴技术 · 计算机科学 2020-04-28 Nikhil Rangarajan , Satwik Patnaik , Johann Knechtel , Ozgur Sinanoglu , Shaloo Rakheja

Large-scale integration of emerging nanoscale non-volatile memory devices, e.g. resistive random-access memory (RRAM), can enable a new generation of neuromorphic computers that can solve a wide range of machine learning problems. Such…

新兴技术 · 计算机科学 2016-12-20 Xinyu Wu , Vishal Saxena

At the end of Silicon roadmap, keeping the leakage power in tolerable limit and bridging the bandwidth gap between processor and memory have become some of the biggest challenges. Several promising Non-Volatile Memories (NVMs) such as,…

密码学与安全 · 计算机科学 2021-05-14 Mohammad Nasim Imtiaz Khan , Swaroop Ghosh

Solid-state memory is an essential component of the digital age. With advancements in healthcare technology and the Internet of Things (IoT), the demand for ultra-dense, ultra-low-power memory is increasing. In this review, we present a…

新兴技术 · 计算机科学 2016-06-28 Mohamed T. Ghoneim , Muhammad M. Hussain

The growing energy demands of information and communication technologies, driven by data-intensive computing and the von Neumann bottleneck, underscore the need for energy-efficient alternatives. Resistive random-access memory (RRAM)…

应用物理 · 物理学 2025-09-23 Md Tawsif Rahman Chowdhury , Alireza Moazzeni , Gozde Tutuncuoglu

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…

介观与纳米尺度物理 · 物理学 2011-03-02 Yuriy V. Pershin , Massimiliano Di Ventra

The geometrical and performance scaling of silicon CMOS integrated circuit technology over the past 50 years has enabled many affordable new products for business and consumer applications. Recognizing that Flash is approaching its ultimate…

材料科学 · 物理学 2014-08-21 Franz Kreupl

Dynamic Random Access Memory (DRAM) is the de-facto choice for main memory devices due to its cost-effectiveness. It offers a larger capacity and higher bandwidth compared to SRAM but is slower than the latter. With each passing generation,…

硬件体系结构 · 计算机科学 2022-01-19 Kaustav Goswami , Hemanta Kumar Mondal , Shirshendu Das , Dip Sankar Banerjee

Two-dimensional (2D) materials present an exciting opportunity for devices and systems beyond the von Neumann computing architecture paradigm due to their diversity of electronic structure, physical properties, and atomically-thin, van der…

介观与纳米尺度物理 · 物理学 2023-01-26 Xiwen Liu , Keshava Katti , Deep Jariwala
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