A hybrid solvent/solid-state {approach|method|strategy} to carbon capture is demonstrated {based on|according to|depending on|determined by} absorption with glycine or sarcosine, followed by crystallization of a guanidinium bicarbonate salt. Formula of 5-Bromo-3-chloro-2-hydroxybenzaldehyde…
The main challenge for acidic water electrolysis is the lack of active and stable oxygen evolution catalysts based on abundant materials, which are globally scalable. Iridium oxide is the only…
Electrochemical water splitting constitutes one of the most promising strategies for converting water into hydrogen-based fuels, and this technology is predicted to play a key role in our transition towards…
Many essential processes occur at soft interfaces, from chemical reactions on aqueous aerosols in the atmosphere to biochemical recognition and binding at the surface of cell membranes. The spatial arrangement…
Metal-organic frameworks (MOFs) have been used to improve vaccine formulations by stabilizing proteins and protecting them against thermal degradation. This has led to increased2immunogenicity of these proteinaceous therapeutics. In this…
Dextran-based hydrogels are promising therapeutic materials for drug delivery, tissue regeneration devices, and cell therapy vectors, due to their high biocompatibility, along with their ability to protect and release active…
In vitro gliding assay is a well-established assay for determining the activity of protein motors, such as actin-associated myosins and microtubule-associated kinesins and dyneins. In one of the conventional methods,…
{An effective|An efficient} nickel-catalyzed cross coupling of umpolung carbonyls and alkyl halides was {developed|created}. Contrary to classical alkylation {techniques|methods|strategies|tactics|approaches|procedures}, this reaction utilizes umpolung carbonyls {as the|because the} environmentally benign alkyl…
Density functional theory (DFT) is a ubiquitous first-principles method, but the approximate nature of the exchange-correlation functional poses an inherent limitation for the accuracy of various computed properties. In this…
Machine learning methods have garnered much attention and use in computational catalysis. Previous studies have demonstrated rapid and accurate prediction of a variety of catalytic properties as well as the…