Results 91 to 100 of about 12,434,327 (206)

A Multi-level Memristor Based on Al-Doped HfO2 Thin Film

Nanoscale Research Letters, 2019
Non-volatile memory (NVM) will play a very important role in the next-generation digital technologies, including the Internet of things. The metal-oxide memristors, especially based on HfO2, have been favored by lots of researchers because of its simple ...
Lei Wu, Hongxia Liu, Jiabin Li, Shulong Wang, Xing Wang   +4 more
doaj   +1 more source

A Review of Key Technologies for Systems Based on Non-Volatile Memory

Big Data and Cognitive Computing
With the continuous growth of data-intensive applications and artificial intelligence workloads, traditional dynamic random access memory (DRAM) is increasingly struggling to meet demands in terms of capacity scale, energy consumption constraints, and ...
Yuhan Zhang, Zehang Wang, Yuanfang Chen, Chunfeng Du, Jing Chen   +4 more
doaj   +1 more source

XPMFS: A New NVM File System for Vehicle Big Data

IEEE Access, 2018
How to improve the I/O speed of storage systems is crucial for the ability of vehicle big data to meet the demand of vehicular social networks. Non-volatile memory (NVM) is an effective method for improving the performance of storage systems.
Dejiao Niu, Qingjian He, Tao Cai, Bo Chen, Yongzhao Zhan, Jun Liang   +5 more
doaj   +1 more source

Historical perspective and opportunity for computing in memory using floating-gate and resistive non-volatile computing including neuromorphic computing

Neuromorphic Computing and Engineering
The effort addresses the research activity around the usage of non-volatile memories (NVM) for storage of ‘weights’ in neural networks and the resulting computation through these memory crossbars.
Jennifer Hasler, Arindam Basu
doaj   +1 more source

Nanocrystal-Embedded-Insulator (NEI) Ferroelectric FETs for Negative Capacitance Device and Non-Volatile Memory Applications

Nanoscale Research Letters, 2019
We report a novel nanocrystal-embedded-insulator (NEI) ferroelectric field-effect transistor (FeFET) with very thin unified-ferroelectric/dielectric (FE/DE) insulating layer, which is promising for low-voltage logic and non-volatile memory (NVM ...
Yue Peng, Genquan Han, Wenwu Xiao, Jibao Wu, Yan Liu, Jincheng Zhang, Yue Hao   +6 more
doaj   +1 more source

Physical Mechanism and Fundamental Performance Limits on Graphene Non-Volatile Memory Technologies [PDF]

, 2012
Non–volatile memory (NVM) constitutes a vital portion in electronics to retain information for both archiving and data processing. Limitations encountered in flash technology upon increasing density and reducing cost by scaling necessitates alternative ...
Song, Emil Beom
core  

Potential Applications Based on NVM Emerging Technologies

, 2015
International audienceEnergy efficiency is a critical figure of merit for battery-powered applications. Today's embedded systems suffer from significant increase of power consumption essentially due to a high leakage current in advanced technology node ...
Senni, Sophiane, Abdoulaye Gamatie, Sophiane Senni, Gilles Sassatelli, Torres, Lionel, Raphael Martins Brum, Gamatié, Abdoulaye, Bruno Mussard, Sassatelli, Gilles, Mussard, Bruno, Lionel Torres   +10 more
core   +1 more source

Emerging non-volatile memory (NVM) technologies based nano-oscillators: Materials to applications

Journal of Applied Physics
This comprehensive study provides a detailed review toward ongoing research on emerging non-volatile memory technologies based nano-oscillators, i.e., from the perspective of materials to applications. Depending on the materials used to fabricate them, the whole class of emerging nano-oscillators has been broadly classified into two categories: (i ...
Manoj Kumar, Manan Suri
openaire   +1 more source

Achieving practical secure non-volatile memory system with in-Memory Integrity Verification (iMIV)

, 2022
Recent commercialization of Non-Volatile Memory (NVM) technology in the form of Intel Optane enables programmers to write recoverable programs. However, the data on NVM is susceptible to a plethora of data remanence attacks, which makes confidentiality ...
Jain, Rajat
core  

An Overview of Computing-in-Memory Circuits With DRAM and NVM

Computing-in-memory (CIM) has emerged as an energy-efficient hardware solution for machine learning and AI. While static random access memory (SRAM)-based CIM has been prevalent, growing attention is directed towards leveraging dynamic random access ...
Kim, Sangjin, Yoo, Hoi-Jun
core   +1 more source