Results 181 to 190 of about 435,912 (249)

Nonplanar Atomic Layer Deposition (ALD)‐Niobium Oxide (NbOx) Neurons for Oscillatory Neural Network Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents a nonplanar niobium oxide (NbOx) neuron device fabricated using an atomic layer deposition (ALD) method for use in oscillatory neural networks (ONNs). Potentially, such nonplanar geometry allows for high‐density arrays. The desired threshold switching (TS) characteristics are achieved through an interfacial method using a thin ...
Jaehyun Moon   +6 more
wiley   +1 more source

Stabilization of the Benzene Radical Trianion in an Inverse‐Sandwich Yttrium Complex

open access: yesAngewandte Chemie, EarlyView.
A new type of benzene anion state is born: The unprecedented benzene radical trianion embedded in an inverse‐sandwich yttrium complex was synthesized by a one‐electron chemical reduction of its benzene dianion precursor using potassium graphite in the presence of [2.2.2]‐cryptand.
Weiqing Mao   +5 more
wiley   +2 more sources

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

QS4D: Quantization‐Aware Training for Efficient Hardware Deployment of Structured State‐Space Sequential Models

open access: yesAdvanced Intelligent Systems, EarlyView.
Quantization‐aware training creates resource‐efficient structured state space sequential S4(D) models for ultra‐long sequence processing in edge AI hardware. Including quantization during training leads to efficiency gains compared to pure post‐training quantization.
Sebastian Siegel   +5 more
wiley   +1 more source

ControlIt: A Universal Framework for Translational, Adaptive, and Online Brain–Computer Interfaces

open access: yesAdvanced Intelligent Systems, EarlyView.
Brain–computer interfaces (BCIs) lack a unified platform that works across signals and algorithms. ControlIt, an open‐source, modular ROS2‐based BCI framework supporting electroencephalography (EEG), electrocorticography (ECoG), and spike‐based decoding across both classification and regression tasks is presented.
Wanlin Yang   +12 more
wiley   +1 more source

Incisor pulp chamber tomographic image dataset for dental age estimation. [PDF]

open access: yesData Brief
Pereira DM   +6 more
europepmc   +1 more source

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