Results 131 to 140 of about 432 (251)

Intrinsic and Water‐Triggered Hydrophilicity in Tween 20‐PDMS Composites for Dynamic and Long‐Term Wettability Control

open access: yesSmall, EarlyView.
A one‐step bulk integration of the surfactant Tween 20 into PDMS enables intrinsic and water‐triggered hydrophilicity. Combined molecular simulations and experiments reveal a dual mechanism where bound and mobile Tween 20 molecules cooperatively induce self‐activating, stretch‐tolerant, and long‐term wettability, supporting self‐driven liquid transport,
Haotian Cha   +8 more
wiley   +1 more source

Going Deep into the Surface Chemistry of Carbon Dots: Influence of Functional Groups on the Redox Abilities

open access: yesSmall, EarlyView.
The chemical structure of Carbon Dots (CDs) is still a mystery despite years of study. Herein, we show how CDs with a higher density of surface‐accessible amines display enhanced (photo)redox performance. Electrochemical and thermodynamic analyses confirmed the feasibility of electron transfer, while mechanistic investigations revealed that the ...
Laura Morbiato   +6 more
wiley   +1 more source

Nanomaterials' Multigenerational Effects by Single and Joint Exposure in Non‐mammalian Models

open access: yesEnvironmental Toxicology, EarlyView.
ABSTRACT Nanotoxicology has mainly focused on single‐generation studies, leaving multigenerational toxicity underexplored. Having animal welfare recently gained importance, we aimed to provide the state‐of‐the‐art of knowledge about multigenerational effects in non‐mammalian models in the case of nanomaterials (NM) single and joint exposure to other ...
Andy Joel Taipe Huisa   +9 more
wiley   +1 more source

A Review on QCA Multiplexer Designs

open access: yesMajlesi Journal of Electrical Engineering
Quantum-dot Cellular Automata (QCA), is a contemporary nanotechnology for manufacturing logical circuits which brings less power consumption, smaller circuit size, and faster operation.
Mohsen Yoosefi Nejad, Mohammad Mosleh
doaj  

Multi‐Modal Deep Feature Extraction and Classifier‐Level Integration for Brain Tumour Classification Using CT and MRI Image

open access: yesArtificial Intelligence for Engineering, EarlyView.
This multi‐modal deep learning framework classifies brain tumours using multi‐backbone deep feature extraction and classifier‐level fusion from CT and MRI images. In extensive experiments, fused features from SqueezeNet, ResNet, and MobileNet combined with a neural network classifier outperform single‐modality and single‐model baselines and show that ...
N. Shyamala, S. Mahaboob Basha
wiley   +1 more source

Theoretical perspective on synthetic man-made life: Learning from the origin of life. [PDF]

open access: yesQuant Biol, 2023
Peng L   +11 more
europepmc   +1 more source

Review Shop Store Quantum-Dot Cellular Automata

open access: yesInternational Journal of VLSI and Signal Processing, 2021
Yash Bishnoi   +3 more
openaire   +1 more source

Determining bismuth content in GaAsBi alloys by energy‐dispersive X‐ray spectroscopy: A case study with multiple sets of k*‐factors for analytical transmission electron microscopy

open access: yesJournal of Microscopy, EarlyView.
Abstract Measuring the bismuth (Bi) content of ternary gallium arsenide bismuthide (GaAsBi) alloys is important because it sensitively influences their bandgap, and Bi is known to segregate vertically to the surface and sometimes also laterally during growth, so elemental distribution maps need to be quantified.
T. Walther
wiley   +1 more source

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