Results 121 to 130 of about 134,202 (290)

Optical Charge Trap Memory Based on Graphene/ZnO Heterostructures for Long‐Term Retention and Adaptive Learning

open access: yesAdvanced Electronic Materials, EarlyView.
A biocompatible graphene/ZnO optical charge trap memory (CTM) is reported with over 54 h retention, enabled by interfacial photodoping. Using transient absorption spectroscopy and electrical analysis, charge transfer quenching is elucidated and reveal that a large energy barrier at the interface is responsible for long‐term memory retention.
Seungmin Shin   +10 more
wiley   +1 more source

Organic Thin‐Film Transistors for Neuromorphic Computing

open access: yesAdvanced Electronic Materials, EarlyView.
Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy   +2 more
wiley   +1 more source

Reconfigurable, Non‐Volatile Switching in WO3 Film for Resistive Memory and Multistate Programming Toward Energy‐Efficient Neuromorphic Computing Applications

open access: yesAdvanced Electronic Materials, EarlyView.
WO3${\rm WO}_3$ based resistive switching device was precisely controlled and shows the reconfigurable, non‐volatile switching which can be programmable to multi‐resistance states for memory applications. The memory device can also be utilised for low energy neuromorphic application.
Keval Hadiyal   +2 more
wiley   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

open access: yesAdvanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos   +4 more
wiley   +1 more source

Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks [PDF]

open access: green, 2020
Malu Zhang   +10 more
openalex   +1 more source

Polarons in DPP Polymers – How Glycol Side Chains and Elongated Conjugated Backbone Influence the Formation and Transport

open access: yesAdvanced Electronic Materials, EarlyView.
The study examines how structural modifications in DPP polymers, glycol side chains and extended conjugated backbones affect charge transport and polaron dynamics. It highlights dramatic conductivity gains through electrochemical doping and reveals molecular insights via in situ Raman spectroscopy.
Katherine Stewart   +4 more
wiley   +1 more source

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