Results 201 to 210 of about 10,442 (302)
The growing popularity of Spiking Neural Networks (SNNs) and their applications has led to a significant fast-paced increase of neuromorphic architectures capable of mimicking the spike-based data processing typical of biological neurons.
Barocci,Michelangelo +3 more
core
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos +4 more
wiley +1 more source
Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko +3 more
wiley +1 more source
Monolithic Co‐Integration of Vertical FET and Memristor for 1T1R Cell
This work demonstrates a vertically integrated one‐transistor–one‐memristor (1T1R) cell by stacking a MoS2 vertical field‐effect transistor (VFET) with a mortise–tenon‐shaped (MTS) memristor. This compact architecture not only exhibits highly uniform resistive switching characteristics but also provides a strategy for constructing densely packed ...
Fubo Jiao +15 more
wiley +1 more source
Neuromorphic Technologies for Neuroengineering: From Adaptive Stimulation to SNN-Based Inference and Deployable Biointerfaces. [PDF]
Sun Z, Mu A, Hao F, Wang H.
europepmc +1 more source
Model‐Based Time‐Modulated Write Algorithm for 1R Analog Memristive Crossbar Arrays
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 +7 more
wiley +1 more source
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 +6 more
wiley +1 more source
A hierarchical neuromorphic multi agent framework for energy aware and secure 6G resource optimization using Neuro6G agent. [PDF]
Al Nuaim A, Qayyum J.
europepmc +1 more source
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 +9 more
wiley +1 more source
Ultrathin Al‐substituted YIG films with perpendicular magnetic anisotropy are sputter‐grown directly on Si/SiOx using an ultrathin AlOx buffer layer. Al diffusion reduces the saturation magnetization and stabilizes PMA via magnetoelastic effects. Pt/Al:YIG bilayers exhibit strong spin Hall magnetoresistance and efficient spin–orbit torque switching ...
Matteo Fettizio +4 more
wiley +1 more source

