The use of atmospheric pressure plasma to enhance catalytic chemical reactions involves
complex surface processes induced by the interactions of plasma-generated fluxes with …

The structural and morphological characterization of individual catalyst particles for olefin
polymerization, as well as for the reverse process of polyolefin decomposition, can provide …

This paper presents a deep learning algorithm for tomographic reconstruction (GANrec). The
algorithm uses a generative adversarial network (GAN) to solve the inverse of the Radon …

Understanding morphological changes of nanoparticles in solution is essential to tailor the
functionality of devices used in energy generation and storage. However, we lack …

The synthesis of hierarchically porous materials usually requires complex experimental
procedures, often based around extensive trial and error approaches. One common …

Ptychographic X-ray imaging at the highest spatial resolution requires an optimal
experimental environment, providing a high coherent flux, excellent mechanical stability and …

Ziegler-type catalysts are the grand old workhorse of the polyolefin industry, yet their
hierarchically complex nature complicates polymerization activity–catalyst structure …

Pore network is regarded as one of the most important aspects of FCC (Fluid Catalytic
Cracking) catalysts for delivering reactants to active sites and transporting out products, and …

Understanding the morphological and chemical structural changes of electrocatalysts under
reaction conditions remains a key challenge. Here, we present a detailed study of how …

Ptychographic X-ray microscopy is an ideal tool to observe chemical processes under in situ
conditions. Chemical reactors, however, are often thicker than the depth of field, limiting the …