Results 71 to 80 of about 58,954,695 (292)

Layer-by-Layer Assembly of Two-Dimensional Colloidal Cu2Se Nanoplates and Their Layer-Dependent Conductivity

open access: yes, 2016
Colloidal assembly is one of the highly active areas in nanoscale science and technology as it plays an important role in organizing nanoscale building blocks into hierarchical and functional systems for practical applications.
Guihua Yu (1440559)   +4 more
core   +1 more source

Effects of Mg on Microstructure and Solidification of a Hypereutectic Zn–8 wt.%Al Alloy

open access: yesAdvanced Engineering Materials, EarlyView.
An appreciable set of results involving thermal data, microstructure, chemical composition, and microstructural growth laws is reported for ZnAlMg alloys. Such results demonstrate that ZnAlMg alloys have high potential for applications in automotive self‐lubricating components, batteries, and electrical systems.
Raí B. de Sousa   +6 more
wiley   +1 more source

Layer-by-Layer Assembly of a Polysaccharide “Armor” on the Cell Surface Enabling the Prophylaxis of Virus Infection

open access: yes, 2022
Airborne pathogens, such as the world-spreading severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), cause global epidemics via transmission through the respiratory pathway.
Ming Ke (3796756)   +10 more
core   +1 more source

FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery

open access: yesAdvanced Engineering Materials, EarlyView.
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin   +16 more
wiley   +1 more source

Layer-by-Layer Assembly Modulated by Host–Guest Binding

open access: yes, 2019
A strategy has been devised for improving the quality of polyelectrolyte multilayers formed via the layer-by-layer technique. This strategy involves host–guest complexation of the pendant ions of a polyelectrolyte to reduce their affinity toward the ...
Nabendu B. Pramanik (6191846)   +3 more
core   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

open access: yesAdvanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin   +14 more
wiley   +1 more source

Layer-by-Layer-Coated Cellulose Fibers Enable the Production of Porous, Flame-Retardant, and Lightweight Materials

open access: yes
New sustainable materials produced by green processing routes are required in order to meet the concepts of circular economy. The replacement of insulating materials comprising flammable synthetic polymers by bio-based materials represents a potential ...
Lorenza Maddalena (5777810)   +7 more
core   +2 more sources

Preparation of high-performance pervaporation membranes for ethanol dehydration using a layer-by-layer self-assembly method

open access: yesAdvanced Membranes
To achieve fuel-grade purity (≥99.5 ​wt%), raw bioethanol needs to be purified. Adopting pervaporation membrane for bioethanol enrichment can greatly reduce the energy consumption compared with distillation.
Zhenhan Sun   +4 more
doaj   +1 more source

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

open access: yesAdvanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose   +7 more
wiley   +1 more source

Layer-by-Layer Assembly-Based Heterointerfaces for Modulating the Electronic Properties of Ti3C2Tx MXene

open access: yes, 2021
Two-dimensional (2D) transition-metal carbides (MXenes) are emerging as promising materials for a wide range of applications owing to their intriguing electrical, optical, and optoelectronic properties.
Keshab Karmakar   +9 more
core   +1 more source

Home - About - Disclaimer - Privacy