Results 291 to 300 of about 2,178,356 (388)

Halide Perovskite Quantum Dots Form a Scalable Unified Platform for Resistive Memories, Crossbar Networks, Neuromorphic Synapses, and Field Effect Transistors

open access: yesAdvanced Materials Interfaces, EarlyView.
Halide perovskite quantum dots, with their flexible ABX3 lattice enabling collaborative electronic and ionic transport, offer scalable, low‐cost routes to resistive memories, opto‐electronic control, neuromorphic devices, and field‐effect transistors.
Hyojung Kim
wiley   +1 more source

A unipolar-driven synaptic transistor for environment-adaptable vision system. [PDF]

open access: yesNat Commun
Jang S   +9 more
europepmc   +1 more source

Halide Perovskite Memristor Crossbar Arrays for Low Voltage in Memory Computing

open access: yesAdvanced Materials Interfaces, EarlyView.
From early devices to centimeter‐scale crossbars, halide‐perovskite memristors now deliver ultra‐low‐energy, multilevel switching. Yet ion migration, device variability, and sneak currents hinder scaling. Advances in self‐rectifying junctions, nonlinear interfaces, bias maps, and hybrid oxides enhance array stability.
Hyojung Kim
wiley   +1 more source

Implantable Microarray Patch: Engineering at the Nano and Macro Scale for Sustained Therapeutic Release via Synthetic Biodegradable Polymers

open access: yesAdvanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
This review focuses on the application of synthetic biodegradable microarray patches (MAPs) in sustained drug delivery. Compared to conventional MAPs which release drugs into the skin in an immediate manner, these implantable MAPs release drugs into skin microcirculation gradually as the biodegradable polymers degrade, thus offering sustained release ...
Li Zhao   +6 more
wiley   +1 more source

Recent Progress in Memristor Array‐Based Neuromorphic Computing for on‐Chip Vector‐Matrix Multiplication

open access: yesAdvanced Materials Technologies, EarlyView.
Recent efforts of memristor array‐based hardware neuromorphic computing are discussed for efficient application of VMM on‐chip level in terms of circuit integration and actual application of AI algorithms. The parallel data processing principle of VMM operation is briefly reviewed, and hardware VMM is presented including convolutional transformation ...
Jingon Jang, Sang‐gyun Gi
wiley   +1 more source

Reconfigurable single-walled carbon nanotube ferroelectric field-effect transistors. [PDF]

open access: yesNat Commun
Rhee D   +7 more
europepmc   +1 more source

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