Results 231 to 240 of about 1,500,046 (301)

940 Nm Near-Infrared Photosynapses Based on Sn─Pb Perovskite for Efficient Face Recognition. [PDF]

open access: yesAdv Mater
Duan W   +13 more
europepmc   +1 more source

Optically Tunable Threshold Switching and Thermally Activated Transport in Planar Ag/MAPbI3 Thin Single‐Crystal Devices

open access: yesAdvanced Science, EarlyView.
Planar Ag/MAPbI3 thin single‐crystal halide perovskite devices show ultralow dark current and optically tunable threshold switching. Illumination enhances the polarity‐dependent hysteresis and shifts the switching voltage, whereas temperature‐dependent measurements reveal thermally activated, contact‐limited transport, underscoring the central role of ...
Ofelia Durante   +16 more
wiley   +1 more source

Wafer-scalable artificial synapses and logic gate circuits based on coplanar self-aligned-gate organic transistors for artificial vision applications. [PDF]

open access: yesMicrosyst Nanoeng
Yuan Q   +13 more
europepmc   +1 more source

Coexisting Volatile and Nonvolatile Switching in 3D ALD‐IGZO Vertical RRAM for Fully Hardware‐Based Wide Reservoir Computing

open access: yesAdvanced Science, EarlyView.
A conformal ALD‐IGZO vertical RRAM integrates volatile and nonvolatile switching within a compact 2F architecture. Before forming, tunable volatile dynamics provide fading‐memory reservoir states, while after forming, stable multilevel conductance modulation enables hardware readout.
Seeun Lee   +6 more
wiley   +1 more source

Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets Through Dynamic Dense Scattering Media

open access: yesAdvanced Science, EarlyView.
Vision begins not with images but with change: the retina fires only when something moves, handing the brain a stream of spikes. A neuromorphic imaging system adopts the same strategy—an event sensor that sees like the retina, a spiking network that thinks like the brain—to track and reconstruct fully randomly moving targets through tissue (phantom ...
Ning Zhang, Arto Nurmikko
wiley   +1 more source

Machine Learning‐Driven Design of Multicomponent Bone Inorganic Matrix Mimicking Scaffolds for Osteogenesis Enhanced by Neurogenesis

open access: yesAdvanced Science, EarlyView.
Schematic illustration of development of experimental datasets and algorithm models, screening and preparation of the scaffolds and their applications in vivo. ABSTRACT Bone defects require materials with osteogenic, neurogenic, and angiogenic activity, yet designing such materials within high‐dimensional compositional spaces remains challenging. Here,
Kunlu Lin   +9 more
wiley   +1 more source

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