Dithiophosphonate-Protected Eight-Electron Superatomic Ag Nanocluster: Synthesis, Isomerism, Luminescence, and Catalytic Activity.

The structure-property relationship considering isomerism-tuned photoluminescence and efficient catalytic activity of silver nanoclusters (NCs) is exclusive. Asymmetrical dithiophosphonate NH[SP(OR)(-CHOCH)] ligated first atomically precise silver NCs [Ag{SP(OR)(-CHOCH)}]PF {where, R = Pr (), Et ()} were established by single-crystal X-ray diffraction and characterized by electrospray ionization mass spectrometry, NMR (P, H, H), X-ray photoelectron spectroscopy, UV-visible, energy-dispersive X-ray spectroscopy, Fourier transforms infrared, thermogravimetric analysis, etc. NCs and consist of eight silver atoms in a cubic framework and enclose an Ag@Ag-centered icosahedron to constitute an Ag core of symmetry, which is concentrically inscribed within the S snub-cube, P cuboctahedron, and the O truncated tetrahedron formed by 12 dithiophosphonate ligands.

Dithiophosphonate Anchored Heterometallic (Ag(I)/Fe(II)) Molecular Catalysts for Electrochemical Hydrogen Evolution Reaction.

The dichalcogenide ligated molecules in catalysis to produce molecular hydrogen through electroreduction of water are rarely explored. Here, a series of heterometallic [Ag(SPFc(OR)] [where Fc = Fe(η-CH)(η-CH), R = Me, ; Et, ; Pr, ; Amyl, ] clusters were synthesized and characterized by IR, absorption spectroscopy, NMR (H, P), and electrospray ionization mass spectrometry. The molecular structures of , , and clusters were established by single-crystal X-ray crystallographic analysis.

A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases.

In the modern era, deep learning techniques have emerged as powerful tools in image recognition. Convolutional Neural Networks, one of the deep learning tools, have attained an impressive outcome in this area. Applications such as identifying objects, faces, bones, handwritten digits, and traffic signs signify the importance of Convolutional Neural Networks in the real world.