Results 91 to 100 of about 14,142 (285)
Digital Computing Continuum Abstraction for Neuromorphic Systems
The rising complexity and data generation in cyber-physical systems and the Internet of Things require a shift towards an edge-to-cloud computing continuum ecosystem with enhanced artificial intelligence (AI) capabilities.
Sandin, Fredrik, +3 more
core +1 more source
Ion‐Reconfigurable “N”‐Shaped Antiambipolar Behavior in Organic Electrochemical Transistors
Advanced Materials, EarlyView.A unique N‐shaped negative differential transconductance (NDT) characteristics is demonstrated in single‐polymer organic electrochemical transistors through a sequential doping–redox–doping process driven by iodide ions. This redox‐driven mechanism enables low‐voltage, ion‐controlled reconfigurability and tunable current modulation, allowing seamless ...
Debdatta Panigrahi +11 more
wiley +1 more source
Advanced Materials, EarlyView.Vertical organic electrochemical transistors (vOECTs) are limited in speed by ion‐impermeable metal electrodes that slow ion injection. Using ion‐permeable PBFDO top electrodes allows direct vertical ion injection into BBL channels, achieving high current densities (>400 A cm−2), large on/off ratios (>106), and ultrafast switching in 28 µs. This sets a
Han‐Yan Wu +14 more
wiley +1 more source
Organic electronics for neuromorphic computing
, 2018 Neuromorphic computing could address the inherent limitations of conventional silicon technology in dedicated machine learning applications. Recent work on silicon-based asynchronous spiking neural networks and large crossbar-arrays of two-terminal ...
van de Burgt, Y +5 more
core +2 more sources
NanomaterialsEmerging neuromorphic computing offers a promising and energy-efficient approach to developing advanced intelligent systems by mimicking the information processing modes of the human brain.
Weisheng Wang, Liqiang Zhu
doaj +1 more source
Digit Classification using Biologically Plausible Neuromorphic Vision [PDF]
Despite tremendous advancement in computer vision, especially with deep learning, understanding scenes in the wild remains challenging. Even modern image classification models often misclassify when presented with out-of-distribution inputs despite ...
Rainey, James +4 more
core +1 more source
Advanced Materials, EarlyView.Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
MicroLEDs for optical neuromorphic computing - application potential and present challenges [PDF]
The slow non-radiative surface recombination velocity of gallium nitride (GaN) in combination with its highly efficient radiative recombination makes this material ideally suited for microLEDs with dimensions as small as 1 μm and even below, serving as ...
Kraneis, R. +7 more
core +1 more source
Advanced Materials, EarlyView.We demonstrate a neuromorphic synapse in 2D Fe3GaTe2 flakes. The device operates via a current‐driven transformation from a skyrmion‐lattice to a stripe‐domain state, yielding a linear anomalous Hall resistance response with a tunable slope to enable multiply‐accumulate operations. Simulations confirm its viability in artificial neural networks.
Jixiang Huang +20 more
wiley +1 more source
Advanced Materials, EarlyView.A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho +3 more
wiley +1 more source