Results 81 to 90 of about 135,259 (261)

Ultrasmall High‐Entropy Materials: Nanoscale Effects, Synthesis, and Mechanistic Insights

open access: yesAdvanced Functional Materials, EarlyView.
This review article focuses on sub‐10 nm high‐entropy materials that combine nanoscale design with complex compositions for next‐generation applications. ABSTRACT Ultrasmall high‐entropy nanomaterials (USHENMs, <10 nm) merge multicomponent chemistry with size‐dependent effects, forming a distinct class of materials with unprecedented properties.
Yueyue He   +5 more
wiley   +1 more source

Controlled Engineering of 2D Alkali‐Iron‐Chloride Compounds and Lateral Quantum Heterostructures Within Confined Graphene Nanoreactors

open access: yesAdvanced Functional Materials, EarlyView.
This work presents a programmable atomic engineering strategy for 2D materials using Å‐scale nanoreactors formed by bilayer graphene (BLG) intercalation. A new class of alkali‐iron‐chloride compounds, along with lateral heterostructures composed of monolayer alkali halides and iron chlorides, is revealed.
Haiming Sun   +6 more
wiley   +1 more source

Hierarchical MXene‐Derived NTP/C Nanohybrids for Cryogenic Sodium‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
A hierarchical MXene‐derived NaTi2(PO4)3/C nanohybrid enables efficient sodium‐ion storage down to −40°C by integrating fast ion–electron transport pathways with an ether‐based electrolyte. The system promotes dominant pseudocapacitive behavior and forms a robust inorganic‐rich SEI, collectively mitigating kinetic and interfacial limitations, thereby ...
M. Sai Bhargava Reddy   +5 more
wiley   +1 more source

HybridVisionNet: An advanced hybrid deep learning framework for automated multi-class ocular disease diagnosis using fundus imaging

open access: yesAin Shams Engineering Journal
Objectives: This study aims to develop and validate an advanced hybrid deep learning architecture for accurate automated diagnosis of multiple ocular diseases using fundus imaging.Methods/Analysis: This study introduces HybridVisionNet, a cutting-edge ...
Şafak Kılıç
doaj   +1 more source

Low‐Profile, High‐Gain GRIN RF Lenses via Multi‐Material Vat Photopolymerization

open access: yesAdvanced Functional Materials, EarlyView.
We investigate the opportunity of leveraging multi‐material vat photopolymerization printing to manufacture intricate lenses exhibiting permittivity gradients that can increase signal gain in transmitted radiofrequency signals in the X‐ and Ku‐bands. Lenses produced with more distinct low‐loss materials (up to 5) can deliver an 18 dB signal gain with a
Lawrence Romangsuriat   +3 more
wiley   +1 more source

Development of a Three‐Axis Planar Hall Magnetoresistance Sensor Using a Superparamagnetic Nanoparticle‐Based Flux Guide

open access: yesAdvanced Functional Materials, EarlyView.
A printed superparamagnetic nanoparticle‐based flux guide enables the realization of a hysteresis‐free three‐axis magnetic sensor. This innovative architecture efficiently redirects out‐of‐plane fields to planar sensing elements, facilitating simultaneous vector detection without complex reset protocols.
Changyeop Jeon   +10 more
wiley   +1 more source

AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business

open access: yesBig Data Mining and Analytics
Open Air Interface (OAI) alliance recently introduced a new disaggregated Open Radio Access Networks (O-RAN) framework for next generation telecommunications and networks. This disaggregated architecture is open, automated, software defined, virtual, and
Sunil Kumar
doaj   +1 more source

Mechanical and Electrical Phenotype of hiPSC‐Cardiomyocytes on Fibronectin‐Based Hydrogels

open access: yesAdvanced Healthcare Materials, EarlyView.
We introduce fibronectin‐based PEG hydrogels with controlled rigidity to enable the culture of iPSC‐derived cardiomyocytes. These substrates offer an alternative to the current culture of these cells on fibronectin‐coated glass, providing enhanced structural and functional behavior. The system provides a more physiologically relevant platform to assess
Ana Da Silva Costa   +8 more
wiley   +1 more source

Deep learning for automated segmentation of central cartilage tumors on MRI

open access: yesEuropean Radiology Experimental
Background Automated segmentation methods may potentially increase the reliability and applicability of radiomics in skeletal oncology. Our aim was to propose a deep learning-based method for automated segmentation of atypical cartilaginous tumor (ACT ...
Salvatore Gitto   +11 more
doaj   +1 more source

A Reproducible Reference Architecture for Automated Driving Scenario Databases

open access: yesVehicles
As automated vehicles move from controlled environments to unpredictable real-world roads, scenario-based testing has become the cornerstone of safety validation.
Yavar Taghipour Azar   +2 more
doaj   +1 more source

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