Results 201 to 210 of about 1,012,506 (332)

Online Medicine Store (MediCart)

open access: green
K Shivaraj   +6 more
openalex   +1 more source

Two‐Dimensional Materials as a Multiproperty Sensing Platform

open access: yesAdvanced Functional Materials, EarlyView.
Various sensing modalities enabled and/or enhanced by two‐dimensional (2D) materials are reviewed. The domains considered for sensing include: 1) optoelectronics, 2) quantum defects, 3) scanning probe microscopy, 4) nanomechanics, and 5) bio‐ and chemosensing.
Dipankar Jana   +11 more
wiley   +1 more source

A COMPREHENSIVE FRAMEWORK FOR ONLINE STORE FUNCTIONALITIES [PDF]

open access: yesIssues in Information Systems, 2012
Drew Hwang   +2 more
doaj  

Spatially Resolved Click Patterning of Dyes on Graphene for 2D Hybrids with Regiotunable Fluorescence

open access: yesAdvanced Functional Materials, EarlyView.
Well‐structured graphene hybrid architectures featuring spatially resolved fluorescent properties represent a promising but so‐far elusive synthetic target. A robust and straightforward method for fabricating well‐organized graphene‐dye hybrid nanoassemblies through a combination of reductive patterning and conventional click chemistry is presented ...
Sabrin Al‐Fogra   +12 more
wiley   +1 more source

A Van der Waals Optoelectronic Synapse with Tunable Positive and Negative Post‐Synaptic Current for Highly Accurate Spiking Neural Networks

open access: yesAdvanced Functional Materials, EarlyView.
A van der Waals optoelectronic synaptic device based on a ReS2/WSe2 heterostructure and oxygen‐treated h‐BN is presented, which enables both positive and negative PSCs through photocarrier polarity reversal. Bidirectional plasticity arises from gate‐tunable band bending and charge trapping‐induced quasi‐doping.
Hyejin Yoon   +9 more
wiley   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

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