Electron-Rich Macrocycle-Based Metal-Organic Frameworks for Efficient Photocatalytic CO Reduction.

Metal-organic frameworks (MOFs) are distinguished by their structural diversity, tunable electronic properties, and exceptional performance in various applications. Notably, the electron-donating ability of ligands significantly enhances the ligand-to-metal charge transfer (LMCT) processes within these frameworks, thereby promoting efficient charge migration. Herein, we developed two electron-rich macrocyclic ligands derived from phenothiazine- and phenoxazine-functionalized calix[3]arenes, alongside their corresponding cobalt-coordinated MOFs.

Multiview-cooperated graph neural network enables novel multi-omics cancer subtype classification.

Cancer presents a significant challenge in the field of public health due to its high incidence, mortality rate, and inherent heterogeneity. Integrating multi-omics biological data offers a comprehensive and intricate understanding of biological processes, disease mechanisms, and cancer subtyping, rendering it an influential tool for scientific research. Nevertheless, current approaches to integrating multi-omics data often fail to consider the scale of data in feature information and overlook the analysis of the individual and shared feature expressions in multi-omics data.

Structural and morphological characterization of silver nanoparticles intruded mineral trioxide aggregate admixture as a chair-side restorative medicament: an in vitro experimental study.

Objectives: The aim of this study was to create a rapid admixture of mineral trioxide aggregate (MTA) and silver nanoparticles (AgNPs) for chairside use in clinical settings to remediate the challenges associated with root canal treatment and pulp capping.

Methods: Synthesized AgNPs at ratios of 10 and 25% were added to commercially available MTA to create an admixture. The admixture was subjected to structural and morphological assessment using X-ray diffraction analysis (XRD), Fourier transform infrared (FT-IR) analysis, Raman spectroscopy, and scanning electron microscopy.

Achieving Long-Term Cyclability in Sodium-Ion Batteries: Site-Selective Doping to Inhibit Irreversible Phase Transitions in P2-NaNiMnO Cathode.

The typical P2-type NaNiMnO exhibits a high theoretical capacity for sodium-ion batteries (SIBs). However, its P2-O2 phase transition during deep charging causes severe structural degradation and capacity decay. In this work, we propose a site-selective doping strategy based on multielement synergy to suppress irreversible phase transitions.

Electrode selection framework for oxygen evolution reaction catalysts involving density functional theory and finite element method.

The design of durable and high-performance electrodes for the oxygen evolution reaction (OER) is important for producing green hydrogen water electrolysis. In this work, we present a multiscale modeling framework that effectively integrates Density Functional Theory (DFT) with Finite Element Modeling (FEM) for the electrodes of polymer electrolyte membrane electrolysers. The framework connects atomic-scale mechanisms of the four electrocatalysts with their half-cell-level redox performance.