Results 141 to 150 of about 1,500,046 (301)
Neuromorphic devices designed to emulate brain function are expected to be highly efficient and require high-performance capabilities for diverse applications.
B. Sreelakshmi, R. Thamankar
doaj +1 more source
High-Performance Memristive Synapse Based on Space-Charge-Limited Conduction in LiNbO3
Advancing neuromorphic computing technology requires the development of versatile synaptic devices. In this study, we fabricated a high-performance Al/LiNbO3/Pt memristive synapse and emulated various synaptic functions using its primary key operating ...
Youngmin Lee, Sejoon Lee
doaj +1 more source
An Efficient Biological Codon Recognition Reservoir Computing System Based on Low‐Energy Epitaxial Hf0.52Zr0.48O2 Ferroelectric Memristors [PDF]
This work reports on epitaxially grown Hf0.52Zr0.48O2 ferroelectric memristors with high stability (high durability exceeding 108 cycles and a retention time exceeding 104 s for 16 states) and ultra‐low operating energy consumption (∼121 fJ). A memristor array‐based reservoir computing system is constructed and applied for the first time in the field ...
Liu Y +6 more
europepmc +2 more sources
Two‐dimensional Ag11 and Ag12 cluster‐assembled materials (CAMs) are synthesized, offering atomically precise platforms with tunable electronic properties. The resulting materials exhibit robust memristive switching and neuromorphic response, demonstrating their promise for advanced nanoelectronic and memory applications.
Noohul Alam +7 more
wiley +1 more source
Lateral heterostructures of WS2 and MoS2 monolayers for photo-synaptic transistor
Von Neumann architecture-based computing, while widely successful in personal computers and embedded systems, faces inherent challenges including the von Neumann bottleneck, particularly amidst the ongoing surge of data-intensive tasks.
Jaeseo Park, Jun Oh Kim, Sang-Woo Kang
doaj +1 more source
Neural Synaptic Simulation Based on ZnAlSnO Thin-Film Transistors
In the era of artificial intelligence, neuromorphic devices that simulate brain functions have received increasingly widespread attention. In this paper, an artificial neural synapse device based on ZnAlSnO thin-film transistors was fabricated, and its ...
Yang Zhao +9 more
doaj +1 more source
Light‐Intensity Switching of Graphene/WSe2 Synaptic Devices
Abstract2D van der Waals heterojunctions (vdWH) have emerged as an attractive platform for the realization of optoelectronic synaptic devices, which are critical for energy‐efficient computing systems. Photogating induced by charge traps at the interfaces indeed results in ultrahigh responsivity and tunable photoconductance.
Hongyu Tang +3 more
openaire +3 more sources
Memristive Motion‐Streak Neuron for Spatiotemporal Multiple Object Detection
This work proposes motion‐streak neuron hardware using amorphous In–Ga–Zn–O optoelectronic memristors and dynamic memristors for spatiotemporal multiple‐object detection. The motion streak neuron array processes optical and electrical stimuli, allowing speed‐dependent filament relaxation to encode motion trajectories.
Hyungjun Park +9 more
wiley +1 more source
The development of intrinsically stretchable organic electrochemical synaptic transistors (ISOESTs) based entirely on elastomeric materials is pivotal for advancing applications requiring neuromorphic functionality under significant mechanical ...
Hyunseok Shim +6 more
doaj +1 more source
Volatile Memristive Devices With Tunable Temporal Dynamics For Event‐Based Sensing
Tunable volatile memristive devices can serve various neural‐inspired tasks that require different time windows of information retention. The ionic‐based volatility of the presented Pt/a‐STO/TaOx/Ta device stack can be reproducibly and controllably tuned in multiple ways.
Dimitrios Spithouris +7 more
wiley +1 more source

