AIMC Topic: Oxides

Clear Filters Showing 11 to 20 of 120 articles

Colorimetric sensor arrays constructed by novel LTP-prepared amorphous CoO nanozymes with high laccase-like activity for the intelligent identification of phenolic compounds in food.

Food chemistry
Distinguishing between natural antioxidant phenolic compounds or contaminants in food matrices is crucial for ensuring food quality and safety. In this context, nanozyme-based sensors have emerged as promising tools, demonstrating significant potenti...

Impact of dental pulp cells-derived small extracellular vesicles on the properties and behavior of dental pulp cells: an in-vitro study.

BMC oral health
BACKGROUND: Dental pulp cells-derived small extracellular vesicles (DPCs-sEVs) had shown immunomodulatory, anti-inflammatory, and tissue function restorative abilities. Therefore, DPCs-sEVs should be considered as a promising regenerative tool for de...

Facile phyto-mediated synthesis of ternary CuO/MnO/ZnO nanocomposite using Nigella Sativa seeds extract: characterization,antimicrobial, and biomedical evaluations.

Scientific reports
The phyto-synthesis of ternary CuO/ MnO/ZnO nanocomposite was achieved by the utilization of an eco-friendly, straightforward approach that involved the extract of Nigella sativa seeds. Our ternary nanocomposite appears to include equal amounts of Cu...

GCPNet: An interpretable Generic Crystal Pattern graph neural Network for predicting material properties.

Neural networks : the official journal of the International Neural Network Society
To predict material properties from crystal structures, we introduce a simple yet flexible Generic Crystal Pattern graph neural Network (GCPNet), which is based on crystal pattern graphs and employs the Graph Convolutional Attention Operator (GCAO) a...

Multimodal feature fusion machine learning for predicting chronic injury induced by engineered nanomaterials.

Nature communications
Concerns regarding chronic injuries (e.g., fibrosis and carcinogenesis) induced by nanoparticles raised public health concerns and need to be rapidly assessed in hazard identification. Although in silico analysis is commonly used for risk assessment ...

Harnessing Transfer Deep Learning Framework for the Investigation of Transition Metal Perovskite Oxides with Advanced p-n Transformation Sensing Performance.

ACS sensors
Gas sensing materials based on transition metal perovskite oxides (TMPOs) have garnered extensive attention across various fields such as air quality control, environmental monitoring, healthcare, and national defense security. To overcome challenges...

Machine Learning Methodologies Applied to Magnetocaloric Perovskites Discovery.

Journal of chemical information and modeling
Traditionally, designing novel materials involves exploring new compositions guided by insights from previous work, relying on a trial-and-error approach, where continuous synthesis and characterization proceed until the properties meet the improveme...

Quotient Complex (QC)-Based Machine Learning for 2D Hybrid Perovskite Design.

Journal of chemical information and modeling
With remarkable stability and exceptional optoelectronic properties, two-dimensional (2D) halide layered perovskites hold immense promise for revolutionizing photovoltaic technology. Effective data representations are key to the success of all learni...

Machine learning models for quantitatively prediction of toxicity in macrophages induced by metal oxide nanoparticles.

Chemosphere
As nanotechnology advances, metal oxide nanoparticles (MeONPs) increasingly come into contact with humans. The inhaled MeONPs cannot be effectively cleared by cilia or lung mucus. In the last decade, potential immune toxicity arising from exposure to...

Taming Prolonged Ionic Drift-Diffusion Dynamics for Brain-Inspired Computation.

Advanced materials (Deerfield Beach, Fla.)
Recent advances in neural network-based computing have enabled human-like information processing in areas such as image classification and voice recognition. However, many neural networks run on conventional computers that operate at GHz clock freque...