Results 141 to 150 of about 13,015 (262)

Model‐Based Time‐Modulated Write Algorithm for 1R Analog Memristive Crossbar Arrays

Advanced Electronic Materials, EarlyView.
A novel model‐based time‐modulated write algorithm efficiently programs analog 1R memristive crossbar arrays by varying pulse duration at a fixed voltage. By leveraging a physics‐based compact model and a dynamic gain mechanism, this approach overcomes device nonlinearities and parasitic effects.
Richard Schroedter, Ahmet Samil Demirkol, Ioannis Messaris, Christian Bruchatz, Eter Mgeladze, Stefan Slesazeck, Thomas Mikolajick, Ronald Tetzlaff   +7 more
wiley   +1 more source

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

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

Advanced Electronic Materials, EarlyView.
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa, Wataru Namiki, Daiki Nishioka, Maki Nishimura, Ryo Iguchi, Kazuya Terabe, Takashi Tsuchiya   +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

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

A Lithium Fluoride Interfacial Layer for Low-Voltage and Reliable Perovskite Memristors. [PDF]

ACS Appl Electron Mater
Pendyala NK, Sanjuán I, Chen QG, Lee WY, Chueh CC, Guerrero A.   +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

Al filament-induced unipolar resistive switching in sputtered Al-rich AlN memristors with low operating voltage and high memory window. [PDF]

RSC Adv
Xiao A, Zhao L, Yang Y, Jin C, Yang X, Ma L, Tian F, Hu W, Huang Z, Gu H.   +9 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

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