Results 141 to 150 of about 19,562 (279)

Bio-Inspired Spike-Timing-Dependent Plasticity Learning with Metal Halide Perovskites: Toward Artificial Synaptic Functionality. [PDF]

ACS Appl Mater Interfaces
Shooshtari M, Kim SY, Pahlavan S, Serrano-Gotarredona T, Bisquert J, Linares-Barranco B.   +5 more
europepmc   +1 more source

Reduced Variability in Threshold Switches Using Heterostructures of SiOx and Vertically Aligned MoS2

Advanced Electronic Materials, EarlyView.
Heterostructures of SiOx and vertically aligned MoS2 exhibit reliable threshold switching by guiding Ag ion migration through van der Waals gaps. Compared to SiOx‐only devices, these heterostructures demonstrate higher switching voltages, faster switching speeds, and reduced variability.
Jimin Lee, Rana Walied Ahmad, Sofía Cruces, Dennis Braun, Lukas Völkel, Ke Ran, Joachim Mayer, Stephan Menzel, Alwin Daus, Max C. Lemme   +9 more
wiley   +1 more source

A Noninvasive Method for Dynamic Ovulation Monitoring Based on Memristor. [PDF]

ACS Omega
Chen Y, Zhang X, Sun B, Liu X, Chen Q, Ma H, Wang M, Cui Y, Fan H, Yang W, Zhang X, Ma Y, Tong G.   +12 more
europepmc   +1 more source

Ultra‐Low Power Consumption and Highly Durability in Sm:HfO2 Thin Film Ferroelectric Memristor for Edge Detection

Advanced Electronic Materials, EarlyView.
ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li, YongRui Wang, Weifeng Zhang, Jikang Xu, Xiaobing Yan   +4 more
wiley   +1 more source

High-concurrency tri-mode memristor-based ordinary differential equation solver. [PDF]

Nat Commun
Yu L, Zhang T, Han Y, Wang B, Xie Z, Zhang H, Liu J, Yan L, Tiw PJ, Shi D, Cai L, Tao Y, Yang Y.   +12 more
europepmc   +1 more source

Synchronization of Analog Neuron Circuits With Digital Memristive Synapses: An Hybrid Approach

Advanced Electronic Materials, EarlyView.
An hybrid circuit mimicking neural units coupled using memristive synapses is introduced. The analog neurons provide flexibility and robustness, and the digital memristive coupling guarantees the full reconfigurability of the interconnection. The onset of a synchronized spiking behavior in two circuits mimicking the Izhikevich neuron is discussed from ...
Lamberto Carnazza, Francesco Maria Esposito, Carlo Famoso, Arturo Buscarino   +3 more
wiley   +1 more source

Versatile Metal Phthalocyanine-Based Memristive Nanowire Network: Unraveling the Dynamics of Digital to Analog Switching. [PDF]

Small Sci
Maity S, Mandal A, Pradhan P, Ghosh A, Topwal D, Patra BK, Som T.   +6 more
europepmc   +1 more source

SPICE‐Compatible Compact Modeling of Cuprate‐Based Memristors Across a Wide Temperature Range

Advanced Electronic Materials, EarlyView.
A physics‐guided compact model for YBCO memristors is introduced, incorporating carrier trapping, field‐induced detrapping, and a differential balance equation to describe their switching dynamics. The model is compared with experiments and implemented in LTspice, allowing realistic circuit‐level simulations.
Thomas Günkel, Aleix Barrera, Lluís Balcells, Narcís Mestres, Enrique Miranda, Anna Palau, Jordi Suñé   +6 more
wiley   +1 more source

Demonstration of CMOS-compatible memristor-based electrochemical biosensor transducer with threshold-sensing functionality. [PDF]

Nat Commun
Kim YJ, Kwon Y, Yoo Y, Theyagarajan K, Saikrithika S, Lee A, Bae NH, Lee WC, Sim G, Lee Y, Park SO, Cho H, Kang MH, Kim Y, Park Y, Lee KG, Kim CY, Ko H, Sul WS, Lee SJ, Ahn JH, Choi S, Kim KM, Lee J.   +23 more
europepmc   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source