Results 191 to 200 of about 14,142 (285)

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

Nanoscale exchange-bias magnetic tunnel junctions enabled memristive synapse and leaky-integrate-fire neuron for neuromorphic computing. [PDF]

Nat Commun
Chen Z, Zhu D, Du A, Shi Y, Cai W, Wang Z, Duan Y, Lu S, Cao K, Zhang H, Zhang D, Liu H, Shi K, Zhao W.   +13 more
europepmc   +1 more source

Non‐Destructive, Reference‐Free Quantitative Analysis of TaOx Memristive Devices Using Soft X‐Ray Radiation

Advanced Electronic Materials, EarlyView.
A non‐destructive, quantitative approach has been developed to explore the nanoscale dynamics of TaOx‐based memristive devices. The utilization of nano‐X‐ray fluorescence analysis enables the direct probing of spatially resolved elemental distributions, including those present in buried layers, that are critical for the resistive switching.
André Wählisch, Xin Zheng, Andreas Haidl, Jan Weser, Christian Stadelhoff, Marc Dummin, Leona J. Bauer, Rainer Unterumsberger, Ilia Valov, Burkhard Beckhoff   +9 more
wiley   +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

Fast prototyping of memristors for ReRAMs and neuromorphic computing.

Nanoscale
Marraccini G, Strangio S, Dimaggio E, Sargeni R, Pieri F, Sozen Y, Castellanos-Gomez A, Fiori G.   +7 more
europepmc   +1 more source

Electrically programmable organic in-display neuromorphic computing. [PDF]

Natl Sci Rev
Dai S, Wang D, Liu X, Cui B, Tian X, Liu D, Hu H, Guo P, Sun T, Zhang J, Huang J, Zhang S, Wang Z.   +12 more
europepmc   +1 more source

Analog Weight Update Rule in Ferroelectric Hafnia, Using picoJoule Programming Pulses

Advanced Electronic Materials, EarlyView.
Resistive, ferroelectric synaptic weights based on BEOL‐compatible hafnia/zirconia nanolaminates are fabricated. Lateral downscaling the devices below 10 µm2 enables 20 ns programming with electrical pulses, dissipating ≤ 3 pJ. Experimental results show that final conductance state is set by pulse amplitude, and is largely independent of the initial ...
Alexandre Baigol, Nikhil Garg, Matteo Mazza, Yanming Zhang, Elisa Zaccaria, Wooseok Choi, Bert Jan Offrein, Laura Bégon‐Lours   +7 more
wiley   +1 more source

Emerging memory devices & systems for biologically plausible neuromorphic computing

DOTTORATOOggigiorno, il volume dei dati prodotti nella nostra società sta crescendo esponenzialmente, così come la loro varietà e complessità. Automotive, smart cities e Industria 4.0 sono solo alcuni esempi di tendenze che stanno accelerando la ...
Milozzi, Alessandro
core  

A Dual‐Memory Ferroelectric Transistor Emulating Synaptic Metaplasticity for High‐Speed Reservoir Computing

Advanced Electronic Materials, EarlyView.
A CMOS‐compatible ferroelectric transistor harnesses the interplay between stable gate polarization memory and volatile non‐quasi‐static channel charge dynamics to emulate how biological synapses regulate their own plasticity. This brain‐inspired dual‐memory mechanism, realized in a single device, enables a physical reservoir computer that solves ...
Yifan Wang, Muhammad Sakib Shahriar, Salma Soliman, Noah Vaillancourt, Lance Fernandes, Andrea Padovani, Asif Islam Khan, Md Sakib Hasan, Raisul Islam   +8 more
wiley   +1 more source

Ergonomic Sponge Electrodes From Recycled PEDOT:PSS

Advanced Electronic Materials, EarlyView.
ABSTRACT Emerging technologies in human–machine interfacing increasingly aim to develop solutions that naturally conform to the body's unique characteristics. Ergonomics and electrical performance in cutaneous sensing are crucial for accurate and reliable translation of biosignals.
Matías Ceballos, Wei‐Ting Ting, Susanne Thümmler, Esma Ismailova   +3 more
wiley   +1 more source