Results 21 to 30 of about 462 (165)

Resistive Random Access Memory (ReRAM)

International Journal of Research and Engineering, 2019
Resistive Random-Access Memory (ReRAM) technology has been viewed as one of the most reliable non-volatile memories that have are emerging in markets. In this research paper, the revolution of ReRAM will be analyzed. Also, the paper will also review the recent progress in the technological development of ReRAM.
openaire   +2 more sources

Application of ion-implantation for improved non-volatile resistive random access memory (ReRAM)

Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 2013
Resistive switching in transition metal oxides is believed to be controlled by the migration of oxygen vacancies and many interesting device structures employ substoichiometric oxide layers as a source of these active defects. However, the growth of thin (∼10 nm) oxide/suboxide heterostructures (e.g.
Elliman, Robert, Nawaz (Saleh), Muhammad, Kim, Tae-Hyun, Venkatachalam, Dinesh, Belay, Kidane, Ruffell, Simon, Kurunczi, P., England, J.   +7 more
openaire   +3 more sources

Insulator Metal Transition-Based Selector in Crossbar Memory Arrays

Electronic Materials
This article investigates resistive random access memory (ReRAM) crossbar memory arrays, which is a notable development in non-volatile memory technology.
Mahmoud Darwish, László Pohl
doaj   +1 more source

ARIA: Additive ReRAM-Based Integrity and Aging Monitoring for ICs

IEEE Access
This paper reports an approach for monitoring aging and integrity of CMOS circuits through additively manufactured Resistive Random-Access Memory (ReRAM) based test structures.
Thomas Schultz, Rashmi Jha, Brian Dupaix, Matt Casto   +3 more
doaj   +1 more source

ReGra: Accelerating Graph Traversal Applications Using ReRAM With Lower Communication Cost

IEEE Access, 2020
There is a growing gap between data explosion speed and the improvement of graph processing systems on conventional architectures. The main reason lies in the large overhead of random access and data movement, as well as the unbalanced and unordered ...
Haoqiang Liu, Qiang-Sheng Hua, Hai Jin, Long Zheng   +3 more
doaj   +1 more source

Study of Resistive Switching Dynamics and Memory States Equilibria in Analog Filamentary Conductive‐Metal‐Oxide/HfOx ReRAM via Compact Modeling

Advanced Electronic Materials
Resistive Random Access Memory (ReRAM) devices offer a promising solution for next‐generation non‐volatile memory and neuromorphic computing systems. Yet, existing compact models fail to capture analog resistive switching behavior of ReRAM devices.
Matteo Galetta, Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Stephan Menzel, Antonio La Porta, Tommaso Stecconi, Folkert Horst, Bert Jan Offrein, Valeria Bragaglia   +9 more
doaj   +1 more source

An efficient read approach for memristive crossbar array

Memories - Materials, Devices, Circuits and Systems, 2023
Resistive random access memories (ReRAM) have drawn attention of researchers due to their unique properties with applications in in-memory computing, which allows storage and computation in the same unit.
Pravanjan Samanta, Dev Narayan Yadav, Partha Pratim Das, Indranil Sengupta   +3 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

An Energy-Efficient Digital ReRAM-Crossbar-Based CNN With Bitwise Parallelism

IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2017
There is great attention to develop hardware accelerator with better energy efficiency, as well as throughput, than GPUs for convolutional neural network (CNN). The existing solutions have relatively limited parallelism as well as large power consumption
Leibin Ni, Zichuan Liu, Hao Yu, Rajiv V. Joshi   +3 more
doaj   +1 more source

Nature‐Derived Chitosan Biopolymer: A Promising Candidate for Sustainable Electronics

Advanced Materials Technologies, EarlyView.
In the creation of environmentally friendly devices, nature‐derived chitosan biopolymer is a promising contender for sustainable electronic research. It can be utilized to create more ecologically friendly scalable gadgets and has a variety of uses in different active layers of electronics.
Joshua McDonald, Ali Nawaz, Amandeep Singh, Prashant Sonar   +3 more
wiley   +1 more source