Results 221 to 230 of about 14,142 (285)
A simple reprocessing strategy based on freeze‐drying and re‐dissolution is introduced to enhance the electrical performance of self‐doped PEDOT while preserving its intrinsic environmental stability. The reprocessed S‐PEDOT enables organic electrochemical transistors with improved drain current, transconductance, and robust operation under high ...
Ruifeng Xu +4 more
wiley +1 more source
Linear and Symmetric Artificial Synapses Driven by Hydrogen Bonding for Accurate and Reliable Neuromorphic Computing. [PDF]
Lee MJ +10 more
europepmc +1 more source
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
Frequency Switching Neuristor for Realizing Intrinsic Plasticity and Enabling Robust Neuromorphic Computing. [PDF]
Park W +12 more
europepmc +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
High-Entropy Oxide Memristors for Neuromorphic Computing: From Material Engineering to Functional Integration. [PDF]
Yang JL +6 more
europepmc +1 more source
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
Ultralow energy adaptive neuromorphic computing using reconfigurable zinc phosphorus trisulfide memristors. [PDF]
Ji Y +7 more
europepmc +1 more source
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
Artificial Synapse Based on Black Phosphorus/SnS<sub>2</sub> Heterostructure Transistor for Neuromorphic Computing with High Accuracy. [PDF]
Lv W +8 more
europepmc +1 more source

