We have analysed structural motifs in the Deem database of hypothetical zeolites, to investigate whether the structural diversity found in this database can be well-represented by classical descriptors such as distances, angles, and ring sizes, or whether a more general representation of atomic structure, furnished by the smooth overlap of atomic positions (SOAP) method, is required to capture accurately structure-property relations. We assessed the quality of each descriptor by machine-learning the molar energy and volume for each hypothetical framework in the dataset. We have found that SOAP with a cutoff-length of 6Å, which goes beyond near-neighbor tetrahedra, best describes the structural diversity in the Deem database by capturing relevant inter-atomic correlations. Kernel principal component analysis shows that SOAP maintains its superior performance even when reducing its dimensionality to those of the classical descriptors, and that the first three kernel principal components capture the main variability in the data set, allowing a 3D point cloud visualization of local environments in the Deem database. This "cloud atlas" of local environments was found to show good correlations with the contribution of a given motif to the density and stability of its parent framework. Local volume and energy maps constructed from the SOAP/machine-learning analyses provide new images of zeolites that reveal smooth variations of local volumes and energies across a given framework, and correlations between local volume and energy in a given framework.

In order to assess the precision of simulations of diffusion at arrays based on the Voronoi tessellation approach we investigated two representative types of random arrays involving bands or disk electroactive sites [J. Electroanal. Chem. 147 (1983) 39] and modelled their diffusional patterns when the solution contains only one electroactive species undergoing a simple electron transfer reaction at the active sites under chronoamperometric conditions. On the one hand, the ensuing results establish that in both cases the Voronoi approach produces reasonably good predictions of the total current intensities flowing through the elementary cells of each array. Indeed, the relative error introduced by the Voronoi-based approach, being less than 5% in each case, is acceptable from an experimental point of view owing to many other sources of uncertainties involved for random arrays. On the other hand, this work demonstrates that the current intensities predicted for the individual sites within an elementary cell based on simulations using Voronoi approaches are excessively wrong since they totally neglect the excessive redistributions of flux lines that happen when the diffusion layers expand with time. This hints to possible severe complication when Voronoi approaches are applied to encompass complex kinetics or to predict the outcome of electroanalytical methods that rely on a fine coupling between local concentrations and local fluxes.

We investigate the coarse-graining of host-guest systems under the perspective of the local distribution of pore occupancies, along with the physical meaning and actual computability of the coarse-interaction terms. We show that the widely accepted approach, in which the contributions to the free energy given by the molecules located in two neighboring pores are estimated through Monte Carlo simulations where the two pores are kept separated from the rest of the system, leads to inaccurate results at high sorbate densities. In the coarse-graining strategy that we propose, which is based on the Bethe-Peierls approximation, density-independent interaction terms are instead computed according to local effective potentials that take into account the correlations between the pore pair and its surroundings by means of mean-field correction terms, without the need of simulating the pore pair separately. Use of the interaction parameters obtained this way allows the coarsegrained system to reproduce more closely the equilibrium properties of the original one. Results are shown for lattice-gases where the local free energy can be computed exactly, and for a system of Lennard-Jones particles under the effect of a static confining field.

Zeolites are nanoporous alumino-silicate frameworks widely used as catalysts and adsorbents. Even though millions of siliceous networks can be generated by computer-aided searches, no new hypothetical framework has yet been...