Results 131 to 140 of about 21,001 (302)

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

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

A Seven-level defined selective harmonic elimination PWM strategy [PDF]

open access: yes, 2006
Selective harmonic elimination pulse-width modulation (SHE-PWM) techniques offer an optimized control approach for a given converter and are therefore suitable for the low switching frequency high-power applications.
Agelidis, V.G., Balouktsis, A.I.
core   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez   +10 more
wiley   +1 more source

Components for oversampled signal processors [PDF]

open access: yes, 2002
Oversampled converters trade transmission bandwidth for resolution. An idealized model gives an insight into the way in which signals are encoded and thus how they can be manipulated.
Monk, John
core  

Preparation, Component Identification, and Antioxidant Activity of Anthocyanins From Punica granatum “Tunisia”

open access: yesAgriFood: Journal of Agricultural Products for Food, EarlyView.
The preparation for Tunisian pomegranate anthocyanin extract. The molecular mechanisms underlying the antioxidant effects of these compounds were investigated using network pharmacology and molecular docking. Antioxidant activity was evaluated through DPPH, ABTS, and FRAP assays, whereas the effects on oxidative stress and inflammation were examined in
Jing Zhang   +6 more
wiley   +1 more source

Photolyzable Polymer Brushes: Subtractive 3D Structuring of Surfaces Using Water and Light

open access: yesAngewandte Chemie, EarlyView.
Facile structuring of polymer brushes is achieved by flipping the process from controlled growth to controlled brush photolysis. Using surface‐initiated radical ring‐opening polymerization of cyclic monomers with photocleavable cyclobutane rings, photodegradable targets are embedded into the polymer chains. The enabled continuous subtractive patterning
Henrik Kalmer   +11 more
wiley   +2 more sources

Conventional Space-Vector Modulation Techniques versus the Single-Phase Modulator for Multilevel Converters [PDF]

open access: yes, 2010
Space-vector modulation is a well-suited technique to be applied to multilevel converters and is an important research focus in the last 25 years. Recently, a single-phase multilevel modulator has been introduced showing its conceptual simplicity and
Carrasco Solís, Juan Manuel   +6 more
core  

Advancements in Graphdiyne‐Based Multiscale Catalysts for Green Hydrogen Energy Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review systematically explores the fundamental characteristics of graphdiyne (GDY), cutting‐edge field of GDY‐based multiscale catalysts within sustainable energy conversion systems.Special emphasis is placed on the structure‒property relationships in different reactions.
Qian Xiao, Lu Qi, Siao Chen, Yurui Xue
wiley   +1 more source

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