Results 141 to 150 of about 6,733 (243)

Sub-10 microA reset in NiO-based resistive switching memory (RRAM) cells

, 2010
NiO-based resistive-switching memory (RRAM) is attracting a growing research interest for high-density nonvolatile storage applications. One of the most difficult challenges for RRAM-based high-density memories is the high current necessary for the ...
S. Spiga, D. J. Wouters, L. Goux, IELMINI, DANIELE, M. Fanciulli, NARDI, FEDERICO, CAGLI, CARLO   +6 more
core  

Hierarchical Multi-Mode Computing in Interlayer-Coupled 3D RRAM Crossbar Arrays. [PDF]

Adv Sci (Weinh)
Park S, Choi J, Nam G, Yu J, Ryu D, Lee JK, Kim S, Kim S.   +7 more
europepmc   +1 more source

Integration von Multi-Level 1T1R RRAM Zellen als eingebetteter Speicher

This thesis proposes a structural approach for integration of one-transistor-one-resistor (1T1R) resistive random access memory (RRAM) cells as embedded memory in integrated circuits.
Pechmann, Stefan Peter
core  

Physics-Informed Multi-Parameter Optimization of Oxide-Based Memristor Characteristics Using Genetic Algorithms. [PDF]

ACS Omega
Gooran-Shoorakchaly A, Sharif S, Banad Y.   +2 more
europepmc   +1 more source

Harnessing the full potential of RRAMs through scalable and distributed in-memory computing with integrated error correction. [PDF]

Commun Eng
Vo HQN, Chowdhury MTR, Ramanan P, Yildirim M, Tutuncuoglu G.   +4 more
europepmc   +1 more source

Introduction of Tunneling Oxide and Oxidation Process Effects for Reliable Si-Compatible Resistive-Switching Random-Access Memory. [PDF]

ACS Nanosci Au
Lee Y, Kim S, Kim S, Kim S, Cho S.
europepmc   +1 more source

Event-Driven Neuromorphic Gaze Decoding via e-Skin Electrooculography. [PDF]

ACS Nano
Jeong S, Ko HW, Kang JH, Ko J, Sim I, Xu Z, Jeong H, Kim SI, Choi Y, Jo S, Shim JW, Seo PH, Chae MS, Kim Y, Rehman A, Yeon H, Park BI, Suh YW, Lee H, Kim J, Lee K, Bae SH, Park MC, Mun S.   +23 more
europepmc   +1 more source

A pruning method for RRAM neural networks based on weight reconstruction

四川大学学报. 自然科学版
Resistive Random Access Memory （RRAM）， with its inherent processing-in-memory capability， has emerged as an efficient hardware platform for neural network acceleration.Pruning techniques effectively compress neural networks by removing redundant weights，
LIU Jing, LIU Peng, YAO Lian, WU Jigang
doaj  

Epitaxial Bi₂O₂Se/Bi₂O₅Se Thin Films: Revealing Electric-Field-Driven Oxidation and Resistive Switching Dynamics for Advanced Memory Devices. [PDF]

Adv Sci (Weinh)
Chen YJ, Wang YJ, Hong ZQ, Wang CH, Wang YN, De Cheng J, Huang CW, Chu YH, Wu WW.   +8 more
europepmc   +1 more source

A generic compact model for resistive memories and switches. [PDF]

Sci Rep
Jung S, Kim H, Park J, Kim S, Kim MH.
europepmc   +1 more source