Results 1 to 10 of about 15,576,567 (291)

Recent Progress of Non-Volatile Memory Devices Based on Two-Dimensional Materials

Chips
With the development of artificial intelligence and edge computing, the demand for high-performance non-volatile memory devices has been rapidly increasing.
Jiong Pan, Ze-Da Wang, Bingchen Zhao, Jia-Ju Yin, Peng-Wen Guo, Yi Yang, Tian-Ling Ren   +6 more
semanticscholar   +3 more sources

Hysteresis Behavior of the Donor-Acceptor-Type Ambipolar Semiconductor for Non-Volatile Memory Applications. [PDF]

Micromachines (Basel), 2021
Donor–acceptor-type organic semiconductor molecules are of great interest for potential organic field-effect transistor applications with ambipolar characteristics and non-volatile memory applications. Here, we synthesized an organic semiconductor, PDPPT-
Choi YJ, Kim J, Kim MJ, Ryu HS, Woo HY, Cho JH, Kang J.   +6 more
europepmc   +2 more sources

Simulation of a Fully Digital Computing-in-Memory for Non-Volatile Memory for Artificial Intelligence Edge Applications. [PDF]

Micromachines (Basel), 2023
In recent years, digital computing in memory (CIM) has been an efficient and high-performance solution in artificial intelligence (AI) edge inference. Nevertheless, digital CIM based on non-volatile memory (NVM) is less discussed for the sophisticated ...
Hu H, Feng C, Zhou H, Dong D, Pan X, Wang X, Zhang L, Cheng S, Pang W, Liu J.   +9 more
europepmc   +2 more sources

Tunable Non-Volatile Memory by Conductive Ferroelectric Domain Walls in Lithium Niobate Thin Films

Crystals, 2020
Ferroelectric domain wall conductance is a rapidly growing field. Thin-film lithium niobate, as in lithium niobate on insulators (LNOI), appears to be an ideal template, which is tuned by the inclination of the domain wall.
T. Kämpfe, Bo Wang, A. Haußmann, Long-Qing Chen, L. Eng   +4 more
semanticscholar   +1 more source

An Overview of In-memory Processing with Emerging Non-volatile Memory for Data-intensive Applications [PDF]

ACM Great Lakes Symposium on VLSI, 2019
The conventional von Neumann architecture has been revealed as a major performance and energy bottleneck for rising data-intensive applications. The decade-old idea of leveraging in-memory processing to eliminate substantial data movements has returned ...
Bing Li, Bo-Nan Yan, H. Li
semanticscholar   +1 more source

TCAD Simulation Studies on Ultra-Low-Power Non-Volatile Memory. [PDF]

Micromachines (Basel), 2023
Xu Z, Bi J, Liu M, Zhang Y, Chen B, Zhang Z.   +5 more
europepmc   +1 more source

Non-Volatile Memory and Synaptic Characteristics of TiN/CeO_x/Pt RRAM Devices. [PDF]

Materials (Basel), 2022
Ha H, Pyo J, Lee Y, Kim S.
europepmc   +1 more source

Relieving Compression-Induced Local Wear on Non-Volatile Memory Block via Sliding Writes. [PDF]

Micromachines (Basel), 2023
Jin K, Du Y, Zhang M, Yin Z, Ausavarungnirun R.   +4 more
europepmc   +1 more source

Si-Doped HfO₂-Based Ferroelectric Tunnel Junctions with a Composite Energy Barrier for Non-Volatile Memory Applications. [PDF]

Materials (Basel), 2022
Lee Y, Song S, Ham W, Ahn SE.
europepmc   +1 more source

Off-chip prefetching based on Hidden Markov Model for non-volatile memory architectures. [PDF]

PLoS One, 2021
Lamela A, Ossorio ÓG, Vinuesa G, Sahelices B.   +3 more
europepmc   +1 more source