Results 141 to 150 of about 13,297 (272)

Ion Crowding Effect in Unilaterally Downsized Perovskite Memristors. [PDF]

Adv Sci (Weinh)
Tan C, An M, Liu W, Wang H, Yang S, Li J, Li J, Luo Y, Wang C, Xu J, Chi Y, Yang Y.   +11 more
europepmc   +1 more source

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

Cation-Driven Valence Change Mechanism in 2D AgCrS₂ for Ultralow-Power and Reliable Memristors. [PDF]

Adv Sci (Weinh)
Su Y, Wang M, Tai X, Liu Y, Lin Y, Guo Y, Peng J, Xie Y, Wu C.   +8 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

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

Actor-critic networks with analogue memristors mimicking reward-based learning. [PDF]

Nat Mach Intell
Portner K, Zellweger T, Martinelli F, Bégon-Lours L, Bragaglia V, Weilenmann C, Jubin D, Falcone DF, Hermann F, Hrynkevych O, Stecconi T, La Porta A, Drechsler U, Olziersky A, Offrein BJ, Gerstner W, Luisier M, Emboras A.   +17 more
europepmc   +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

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

Electroencephalogram‐Driven Recognition of Parkinson's Disease Through a Mycelium‐Inspired Memristive Reservoir Computing Circuit

Advanced Intelligent Systems, EarlyView.
This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis, Ioannis Tompris, Pantelis Fraidakis, Iosif‐Angelos Fyrigos, Antonio Rubio, Georgios Ch. Sirakoulis   +5 more
wiley   +1 more source