Results 191 to 200 of about 1,504,271 (353)

Ultrasoft Iontronics: Stretchable Diodes Enabled by Ionically Conductive Bottlebrush Elastomers

open access: yesAdvanced Functional Materials, EarlyView.
This work introduces a solvent‐free, ultrasoft, and stretchable ionic diode based on oppositely charged bottlebrush elastomers (BBEs). The BBE diode exhibits an ultralow Young's modulus (<23 kPa), a high rectification ratio of 46, and stretchability over 400%.
Xia Wu   +6 more
wiley   +1 more source

CIM/E Oriented Graph Database Model Architecture and Parallel Network Topology Processing [PDF]

open access: green, 2018
Zhangxin Zhou   +7 more
openalex   +1 more source

Native Lignin Migration and Clustering in Wood: Superhydrophobic, Antimold, and Tribonegative Layers for Rain‐Driven Electrification

open access: yesAdvanced Functional Materials, EarlyView.
This study proposes a sustainable solution for rainwater‐driven energy harvesting by harnessing the intrinsic properties of lignin in wood. The first demonstration of an all‐wood tribonegative material for liquid–solid triboelectric nanogenerators is presented, eliminating the need for fluorine‐containing polymers and functional additives. Abstract The
Xuetong Shi   +8 more
wiley   +1 more source

An Optoelectrically Switched, Dual‐Mode Neuromorphic Sensor for Transient and Accumulative Gas Detection

open access: yesAdvanced Functional Materials, EarlyView.
A transistor‐type carbon nanotube gas sensor with dual‐mode detection capability has been proposed. By simply adjusting the gate voltage and UV illumination, this sensor enables both real‐time detection and accumulation‐based sensing of toxic gases within a single device, providing a compact and adaptable platform for environmental monitoring ...
Jaewon Shin   +7 more
wiley   +1 more source

A Parallel Architecture for the Partitioning around Medoids (PAM) Algorithm for Scalable Multi-Core Processor Implementation with Applications in Healthcare [PDF]

open access: gold, 2018
Hassan Mushtaq   +6 more
openalex   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

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