Morphological analysis of Pd/C nanoparticles using SEM imaging and advanced deep learning.

In this study, we present a comprehensive approach for the morphological analysis of palladium on carbon (Pd/C) nanoparticles utilizing scanning electron microscopy (SEM) imaging and advanced deep learning techniques. A deep learning detection model based on an attention mechanism was implemented to accurately identify and delineate small nanoparticles within unlabeled SEM images. Following detection, a graph-based network was employed to analyze the structural characteristics of the nanoparticles, while density-based spatial clustering of applications with noise was utilized to cluster the detected nanoparticles, identifying meaningful patterns and distributions.

Correction: Impact of ligand fields on Kubas interaction of open copper sites in MOFs with hydrogen molecules: an electronic structural insight.

[This corrects the article DOI: 10.1039/D4RA03946G.].

La-doped MIL-88B(Fe)-NH: a mixed-metal-organic framework photocatalyst for highly efficient reduction of Cr(vi) in an aqueous solution.

With the aim to resolve the problem of water pollution, we herein propose a new photocatalyst based on metal-organic frameworks (MOFs), called La-doped MIL-88B(Fe)-NH (MIL-88B((1 - )Fe/La)-NH), which was designed and employed for the photocatalytic reduction of Cr(vi) in aqueous solutions. MIL-88B((1-)Fe/La)-NH materials with different values were synthesized a one-pot solvothermal method. Their characteristics were investigated using various techniques, including X-ray diffraction (XRD), scanning electron microscopy (SEM), energy-dispersive spectroscopy (EDS), Brunauer-Emmett-Teller (BET) analysis, Fourier-transform infrared (FT-IR) spectroscopy and ultraviolet-visible diffuse reflectance spectroscopy (UV-vis DRS).

Varietal and trait preferences for boiled sweetpotato in urban Hanoi and implications for breeding.

Cognizant of the need to refocus breeding efforts toward end-product quality traits taking into account the preferences of consumers and in consideration of the rapid urbanization in South-eastern Asia, this study investigated the consumer's preferences for sweetpotato in Hanoi. Using a mixed-methods research design, the study identified the most preferred and least preferred attributes of both the fresh and boiled product, disaggregated by gender, age, and socioeconomic status. Preferences and associated traits of six popular varieties were determined.

Charge-induced electromechanical actuation of Mo- and W-dichalcogenide monolayers.

Using first-principle density functional calculations, we investigate electromechanical properties of two-dimensional MX (M = Mo, W; X = S, Se, Te) monolayers with the 1H and 1T structures as a function of charge doping for both electron and hole doping. We find that by increasing the atomic number, , of X atoms ( < < ), the work density per cycle of the MX monolayers are increased and decreased for the 1H and 1T structures, respectively. On the other hand, the work density per cycle of the WX monolayers are higher than that of the MoX monolayers for both the 1H and 1T structures.

Ultralow power consumption gas sensor based on a self-heated nanojunction of SnO nanowires.

The long duration of a working device with a limited battery capacity requires gas sensors with low power consumption. A self-heated gas sensor is a highly promising candidate to satisfy this requirement. In this study, two gas sensors with sparse and dense SnO nanowire (NW) networks were investigated under the Joule heating effect at the nanojunction.