Results 101 to 110 of about 255,580 (244)

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

Laser‐Based Sculpturing of Embedded Ultrathin Metal‐Oxide Nanopores for Enhanced Biomolecular Sensing

open access: yesAdvanced Functional Materials, EarlyView.
Controlled laser‐drilling of embedded HfO2 membranes creates three layer nanopores with Gaussian‐shaped cavities sculptured in the supporting layers. These embedded solid‐state nanopores slow DNA translocation by 12‐fold compared to SiNx pores, enabling high‐resolution, label‐free detection of short DNAs, RNAs, and proteins.
Jostine Joby   +4 more
wiley   +1 more source

New insights into RNA mycoviruses of fungal pathogens causing Fusarium head blight

open access: yesVirus Research
Fusarium head blight (FHB) continues to be a major problem in wheat production and is considered a disease complex caused by several fungal pathogens including Fusarium culmorum, F. graminearum and F. equiseti.
Živilė Buivydaitė   +4 more
doaj   +1 more source

A Comprehensive View of Regulation of Gene Expression by Double-stranded RNA-mediated Cell Signaling [PDF]

open access: hybrid, 2001
Gary Geiss   +5 more
openalex   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

open access: yesAdvanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo   +4 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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