Results 171 to 180 of about 32,825 (324)

Device‐Level Implementation of Reservoir Computing With Memristors

Advanced Intelligent Systems, EarlyView.
Reservoir computing (RC) is an emerging computing scheme that employs a reservoir and a single readout layer, which can be actualized in the nanoscale with memristors. As a comprehensive overview, the principles of RC and the switching mechanisms of memristors are discussed, followed by actual demonstrations of memristor‐based RC and the remaining ...
Sunbeom Park, Hyojung Kim, Ho Won Jang
wiley   +1 more source

Memristor Synapse-A Device-Level Critical Review. [PDF]

Nanomaterials (Basel)
Chandrasekaran S, Chang YF, Simanjuntak FM.   +2 more
europepmc   +1 more source

Compact Modeling of Volatile‐Switching Electrochemical Metallization Memory Cells by Means of the Electromotive Force

Advanced Intelligent Systems, EarlyView.
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad, Solomon Amsalu Chekol, Julius Rasbach, Susanne Hoffmann‐Eifert, Stephan Menzel   +4 more
wiley   +1 more source

Efficient next-generation reservoir computing: An analog in-memory implementation using memristor crossbar arrays. [PDF]

iScience
Lin Z, Wu X, Chen Z, Zhang J, Deng J, Feng Y.   +5 more
europepmc   +1 more source

A Family of Binary Memristor-Based Low-Pass Filters With Controllable Cut-Off Frequency [PDF]

, 2020
Dongkun Li, Jianwen Zhang, Dongsheng Yu, Ruidong Xu, Herbert Ho‐Ching Iu, Tyrone Fernando, Xiaoyuan Wang   +6 more
openalex   +1 more source

A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks

Advanced Intelligent Systems, EarlyView.
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan, Oliver Artner, Paul‐Philipp Manea, Sebastian Siegel, Susanne Hoffmann‐Eifert, Regina Dittmann, John Paul Strachan   +6 more
wiley   +1 more source

Electroactive Metal–Organic Frameworks Enabling Unidirectional Electrochemical Capacitors and Logic Gates (MOF‐CAPode)

Angewandte Chemie, EarlyView.
MOF‐CAPodes are introduced by pairing various p‐MOFs with an n‐MOF as electrode materials in a battery‐like assembly. The devices achieve high figures of merit (RRI = 23.5; RRII = 94.4%) and perform excellently in prototypical logic gates (AND, OR) highlighting a new direction for ionological systems based on electroactive MOFs.
Tim Engelhardt, Leonid Shupletsov, Christin Gellrich, Cécilia Bauden, Przemyslaw Galek, Ahmed Bahrawy, Sonila Xhafa, Irena Senkovska, Julia Grothe, Stefan Kaskel   +9 more
wiley   +2 more sources

A DTMOS-Based Memristor Emulator Circuit for Low-Power Biomedical Signal Conditioning. [PDF]

Micromachines (Basel)
Barraj I.
europepmc   +1 more source

Biological plausibility and stochasticity in scalable VO2 active memristor neurons [PDF]

, 2018
Wei Yi, Kenneth K. Tsang, Stephen K. Lam, Xiwei Bai, Jack A. Crowell, Elias A. Flores   +5 more
openalex   +1 more source

Biodegradable and Bioinspired UV Light Recognition via Sustainable Synaptic Transistors for Artificial Intelligence Vision Systems

Advanced Intelligent Systems, EarlyView.
We report a biodegradable electrolyte‐gated synaptic phototransistor that combines low‐power UV sensing with memory functionality, offering a sustainable platform for AI vision systems and health‐monitoring technologies. Presented here is a biodegradable, bioinspired synaptic phototransistor (SPT) based on an electrolyte‐gated field‐effect transistor ...
Theodoros Serghiou, Rogério Morais, Douglas Henrique Vieira, Neri Alves, Roghaieh Parvizi, Jeff Kettle   +5 more
wiley   +1 more source