A multiphasic 1T/2H MoS2 electrocatalyst for hydrogen evolution, which exhibits excellent performances with a small Tafel slope of 46 mV dec−1, is developed by phase engineering via a simple hydrothermal route.
In the last decade, stretchable electronics evolved as a class of novel systems that have electronic performances equal to established semiconductor technologies, but can be stretched, compressed, and twisted like a rubber band. The compliance and stretchability of these electronics allow them to conform and mount to soft, elastic biological organs and tissues, thereby providing attractive opportunities in health care and bio-sensing. Majority of stretchable electronic systems use an elastomeric substrate to carry an ultrathin circuit mesh that consists of sparsely distributed stiff, thin-film electronic components interconnected by various forms of stretchable metal strips or low-dimension materials. During the fabrication processes and application of stretchable electronics, the thin-film components or nanomaterials undergo different kinds of in-plane deformation that often leads to out-ofplane or lateral buckling, in-surface buckling, or a combination of all. A lot of creative concepts and ideas have been developed to control and harness buckling behaviors, commonly regarded as pervasive occurrences in structural designs, to facilitate fabrication of stretchable structures, or to enhance stretchability. This paper provides a brief review of recent progresses on buckling analysis in stretchable electronics. Detailed buckling mechanics reveals important correlations between the geometric/material properties and system performance (e.g., mechanical robustness, deformability, structural architecture, and control). These mechanics models and analysis provide insights to design and optimize stretchable electronics for a wide range of important applications.
A stereodivergent synthesis using inexpensive reagents, i.e., dibenzazepine and glucose-derived t-Bu-sulfinate diastereomers (R S )-6 or (S S )-6, affords respective S(O)-alkene hybrid ligands (S)-7 and (R)-7 on gram scales and in excellent optical purity (ee > 99%). Phenyl substitution of the dibenzoazepine backbone generates planar chirality to give epimerizationresistant (pS,R S )-10 diastereoisomer in high isomeric purity. Furthermore, the crystal structure of widely used sulfinate (R S )-6 is disclosed for the first time since its discovery a quarter of a century ago. Ligands 7 and 10 coordinate Rh(I) in a bidentate fashion through the S atoms and the alkene functions as evidenced by the crystal structures of complexes (R)-11 and (S N ,S S )-12. (R)-11 catalyzes the conjugate addition of arylboronic acids to enones with enantioselectivities of up to 77% ee. The reaction proceeds smoothly also under base-free conditions at 40 °C. The planar chirality in ligand (pS,R S )-10 is shown to override and invert the sense of chiral induction predicted by the configuration of the sulfur donor atom.
Digital image correlation (DIC) is a full-field and non-contact technique based on white-light illumination for displacement and strain measurement. Because of these advantages, it can be used to measure the mechanical properties of materials at high temperature. However, there are still many urgent matters to be solved in using the DIC method in high-temperature measurement, such as the heat flow disturbance. This can warp the images acquired in high temperatures and cause a tiny move of the images acquired at the same temperature, even making the gray value of the images change, so the results of the measurement will not be guaranteed. This paper proposes a method to reduce these influences and improve the accuracy of high-temperature measurement results. Degraded images can be processed by using a combination of the image inverse filter method and an image averaging algorithm. Then the processed images can be used to calculate the displacement and strain. The experimental results show that using an image inverse filter and image averaging algorithm to process images can produce smaller RMS errors and more stable results than the values calculated from the original images with no processing. Using this method can improve the accuracy of high-temperature measurement.
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