Results 41 to 50 of about 8,610 (222)

Deciphering Short‐Range Order in 2D Transition Metal Dichalcogenides: From Origin to Multi‐Scale Property Modulation

open access: yesAdvanced Science, EarlyView.
Short‐range order in 2D transition metal dichalcogenides is revealed as a new design paradigm. Driven by chemical affinity and atomic size, it governs properties across scales. Weak ordering tunes site‐resolved magnetism and d‐band centers, while strong ordering eliminates gap states to open band gaps.
Hanyu Liu   +3 more
wiley   +1 more source

Degradation Products Assessment of the Wooden Painted Surfaces from a XVIIth Heritage Monastery

open access: yesApplied Sciences, 2023
Currently, approximately 70% of paintings in museum collections are affected by the presence of metallic soaps, evidenced by spherical globules visible on the surface of the paintings.
Rodica-Mariana Ion   +5 more
doaj   +1 more source

Localizable Fluorescent Metal Ion Indicators With Tunable Colors

open access: yesAdvanced Science, EarlyView.
A modular platform enables the generation of fluorescent metal ion indicators with tunable emission colors and precise subcellular localization. Conjugation to self‐labeling proteins yields bright, color‐tunable potassium probes that permit wash‐free live‐cell imaging, revealing dynamic potassium efflux in stimulated neurons.
Ming‐Ming Wang   +3 more
wiley   +1 more source

An Investigation on the Industrial Wastewater in Tehran Province [PDF]

open access: yesآب و فاضلاب, 2005
During 1994 to 1999  a research program titled “A qualitative and quantitative review of industrial wastewater in Tehran province”  was done . This article presents the most important results obtained from this study .
Ali Torabian, Maryam Mahjouri
doaj  

Studies in Heavy Metal Soaps. Synthesis or Chloride Soaps or Aluminium

open access: yes, 1962
Mono and dichloride soaps awl tri-soaps of aluminium have been synthesised by the interaction of anhydrous aluminium chloride and fatty acids in different stoiehiometric ratios in different organic solvents. All chloride maps and tri-soaps give mobile solutions of low viscosity in organic solvents.
R. C. Mehrotra, A. K. Rai
openaire   +2 more sources

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

open access: yesAdvanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai   +3 more
wiley   +1 more source

Supra and subgingival application of antiseptics or antibiotics during periodontal therapy

open access: yesPeriodontology 2000, EarlyView., 2023
Abstract Periodontal diseases (gingivitis and periodontitis) are characterized by inflammatory processes which arise as a result of disruption of the balance in the oral ecosystem. According to the current S3 level clinical practice guidelines, therapy of patients with periodontitis involves a stepwise approach that includes the control of the patient ...
Elena Figuero   +5 more
wiley   +1 more source

Stability evaluation of nano loaded and conventional soaps and ointments

open access: yesDiscover Chemistry
This study evaluates the 12-month stability of conventional and nano loaded soap and ointment formulations, focusing on physicochemical and microbiological parameters.
Aliyu Shehu   +2 more
doaj   +1 more source

About metal soaps in ethnographic collections 

open access: yesCeROArt
This article discusses the value of ethnographic objects in museums and collections, and the challenges of preserving them due to their complex composition and poly-materiality. Specifically, the study focuses on the formation of metal soaps on objects made of metal in contact with leather or wood parts.
Russo, Silvia   +5 more
openaire   +3 more sources

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Home - About - Disclaimer - Privacy