Zeolites are well-known microporous catalysts involved in many industrial applications. Their microporosity yet impedes diffusion of bulky molecules. To overcome this drawback, zeolites with hierarchical bimodal porosity, e. g. micropores and mesopores, developed. In context, it is important to develop/use methods able evaluate accurately the textural properties mesoporous zeolites. t-Plot can ...

We study the background associated with phenomena observed in zeolites using combinatorial and geometric techniques. We define combinatorial d-dimensional zeolites and show that not all combinatorial zeolites have a unit distance realization inR , and of those that have a unit distance realization, not all have non-overlapping unit-distance realizations. Only few classes of finite 2-d zeolites ...

The direct experimental evidence shows that ethylbenzene disproportionation is a transition state shape selective reaction on zeolites: a bimolecular reaction mechanism via diphenylethane-mediated pathway on large-pore zeolites X and Y (ca. 0.74 nm) and a monomolecular reaction mechanism on medium-pore zeolites ZSM-5 (ca. 0.56 nm) via the ethoxy-mediated intermolecular ethyl group transfer. The...

A possibility of the creation of potentiometric biosensor by adsorption of enzyme urease on zeolite was investigated. Several variants of zeolites (nano beta, calcinated nano beta, silicalite, and nano L) were chosen for experiments. The surface of pH-sensitive field-effect transistors was modified with particles of zeolites, and then the enzyme was adsorbed. As a control, we used the method of...

zeolites a, x and hs were synthesized from natural iranian kaolinite by alkaline fusion,,followed by refluxing the mixture. the transformation of zeolites x to hs and y to p were studied at different time intervals by x-ray diffraction and scanning electron microscopy (sem). it was revealed that in solution, zeolites hs and p are more stable than zeolites x and y respectively

Abstract We introduce Crystal Edge Graph Attention Neural Network (CEGANN) workflow that uses graph attention-based architecture to learn unique feature representations and perform classification of materials across multiple scales (from atomic mesoscale) diverse classes ranging from metals, oxides, non-metals hierarchical such as zeolites semi-ordered mesophases. CEGANN can classify based on a...