Results 231 to 240 of about 55,835 (345)

Environmental Stability and Electronic Properties of Individual Flakes of Ti2CTx MXene

open access: yesAdvanced Electronic Materials, EarlyView.
The paper presents a synthesis of large Ti2CTx MXene flakes with sizes reaching 40 µm and examines their environmental stability and electronic behavior. It demonstrates that monolayer flakes degrade rapidly in ambient conditions, leading to semiconducting‐like behavior with low conductivity and mobility. In contrast, multilayer flakes exhibit enhanced
Md. Ibrahim Kholil   +5 more
wiley   +1 more source

Abundant supernova dust and heterogeneous aqueous alteration revealed by stardust in two lithologies of asteroid Bennu. [PDF]

open access: yesNat Astron
Nguyen AN   +10 more
europepmc   +1 more source

A Novel Quantification Method for High Voltage Structural Evolution in Sodium and Lithium Layered Oxides

open access: yesAdvanced Energy Materials, EarlyView.
High‐voltage cycling of layered alkali transition metal oxides in Li‐ and Na‐ion cells increases energy density but diminishes lifetime. A novel XRD‐analysis method, centered on the stacking factor “z”, is developed to quantify the stacking fractions in the OP hybrid structure.
Libin Zhang   +3 more
wiley   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi   +5 more
wiley   +1 more source

Accelerating Surface Composition Characterization of Thin‐Film Materials Libraries Using Multi‐Output Gaussian Process Regression

open access: yesAdvanced Intelligent Discovery, EarlyView.
To integrate surface analysis into materials discovery workflows, Gaussian process regression is used to accurately predict surface compositions from rapidly acquired volume composition data (obtained by energy‐dispersive X‐ray spectroscopy), drastically reducing the number of required surface measurements on thin‐film materials libraries.
Felix Thelen   +2 more
wiley   +1 more source

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