Results 181 to 190 of about 917,253 (403)

About products of interaction of holmium chloride and bromide with carbamide

open access: yesТонкие химические технологии, 2012
The synthesis and data of the study of new complexes of samarium bromides with carbamide, [Ho(Ur)4(H2O)4]Br3 (I), [Ho(Ur)6(H2O)2]Br3 (II) and [Ho(Ur)4Cl3] (III), by IR spectroscopy and X-ray diffraction analysis are presented.
L. Yu. Alikberova   +5 more
doaj  

Bromide and other ions in the snow, firn air, and atmospheric boundary layer at Summit during GSHOX [PDF]

open access: yes, 2010
Measurements of gas phase soluble bromide in the boundary layer and in firn air, and Br− in aerosol and snow, were made at Summit, Greenland (72.5° N, 38.4° W, 3200 m a.s.l.) as part of a larger investigation into the influence of Br chemistry on HOx ...
Beckman, P   +3 more
core   +1 more source

Endocytic Programming via Porous Silicon Nanoparticles Enhances TLR4 Nanoagonist Potency for Macrophage‐Mediated Immunotherapy

open access: yesAdvanced Functional Materials, EarlyView.
Porous silicon nanoparticles (PSiNPs) reprogram macrophage endocytosis of manganese@albumin‐based TLR4 nanoagonists, driving TRIF‐biased TLR4 signaling, eliciting robust proinflammatory responses, and potentiating macrophage‐mediated immunotherapeutic effects against NSCLC.
Xiaomei Zhang   +9 more
wiley   +1 more source

Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth

open access: yesAdvanced Functional Materials, EarlyView.
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung   +8 more
wiley   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

open access: yesAdvanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto   +8 more
wiley   +1 more source

Quantifying Electron and Ion Transfers in Contact Electrification with Ionomers

open access: yesAdvanced Functional Materials, EarlyView.
The concurrent existence of both electron and ion transfers in solid‐ionomer contact electrification is reported. The ion transfer contributes significantly to the process of contact electrification, especially at high humidity, although only less than 2% of ions participate in the ion transfer, suggesting that there is room for further performance ...
Xiaoting Ma   +5 more
wiley   +1 more source

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