An Improved TransMVSNet Algorithm for Three-Dimensional Reconstruction in the Unmanned Aerial Vehicle Remote Sensing Domain.

It is important to achieve the 3D reconstruction of UAV remote sensing images in deep learning-based multi-view stereo (MVS) vision. The lack of obvious texture features and detailed edges in UAV remote sensing images leads to inaccurate feature point matching or depth estimation. To address this problem, this study improves the TransMVSNet algorithm in the field of 3D reconstruction by optimizing its feature extraction network and costumed body depth prediction network.

Steering interface effect of H-ZSM-5 zeolites with tailored surface barriers to improve their catalytic performances.

An efficient zeolite interface with optimized surface barriers was tailored by passivating the hydroxyl-group defects at surfaces or near pore mouths. The surface permeability of the modified zeolite was almost 90% greater than that of the pristine one, leading to remarkable improvements in C=2-3 selectivity and an anti-inactivation rate of 75% for the catalytic cracking reaction.

Insights into the Effect of the Adsorption Preference of Additives on the Anisotropic Growth of ZSM-5 Zeolite.

Invited for the cover of this issue are Zaiku Xie, Jiawei Teng, Chuanming Wang, and co-workers at the SINOPEC Shanghai Research Institute of Petrochemical Technology, Liaoning Petrochemical University and University of Science and Technology of China. The image depicts the effect of eight organic additives on the anisotropic growth of classical ZSM-5 zeolite at the molecular level. Read the full text of the article at 10.

Molecular transport in zeolite catalysts: depicting an integrated picture from macroscopic to microscopic scales.

Increasing social sustainability triggers the persistent progress of industrial catalysis in energy transformation and chemical production. Zeolites have been demonstrated to be pivotal catalysts in chemical industries due to their moderate acidity and versatile well-defined pore structures. However, in the context of enhancing the performances of zeolite catalysts, the perspectives on the diffusion regulations within the pores and channels in the bulk phases or external surfaces of the zeolites are often overlooked.

A diffusion anisotropy descriptor links morphology effects of H-ZSM-5 zeolites to their catalytic cracking performance.

Zeolite morphology is crucial in determining their catalytic activity, selectivity and stability, but quantitative descriptors of such a morphology effect are challenging to define. Here we introduce a descriptor that accounts for the morphology effect in the catalytic performances of H-ZSM-5 zeolite for C olefin catalytic cracking. A series of H-ZSM-5 zeolites with similar sheet-like morphology but different c-axis lengths were synthesized.

Methanol to aromatics: isolated zinc phosphate groups on HZSM-5 zeolite enhance BTX selectivity and catalytic stability.

HZSM-5 zeolite combined with unique zinc and phosphorus species, yields excellent selectivity (∼85%) to BTX (benzene, toluene, xylenes) in aromatic products. It was found that both zinc and phosphorus species were highly distributed in the pores of the zeolite channel network to form isolated zinc phosphate groups, which directly bond to the surface of zeolite, leading to a strong Lewis acidic center and an optimized surface acidity distribution favorable for BTX formation and the hydrothermal stability of the catalyst.