The structural features in silica aerogels are known to be modelled effectively by the
diffusion-limited cluster–cluster aggregation (DLCA) approach. In this paper, an artificial …

Mechanical properties of aerogels are controlled by the connectivity of their network. In this
paper, in order to study these properties, computational models of silica aerogels with …

Silica aerogels are being extensively studied for aerospace and transportation applications
due to their diverse multifunctional properties. While their microstructural features dictate …

Data‐driven modeling in material science rose to prominence in the last decade, and
various supervised and unsupervised machine learning techniques have been employed for …

Reconstructing aerogel morphology presents significant challenges, in particular, if 3D
visualizations of their mesoporous network are desired. Available microscopic and …

Silica aerogels are known to be materials with exceptional characteristics, such as ultra-low
density, high surface area, high porosity, high adsorption, and low-thermal conductivity. In …

A new two-level model is proposed to investigate the relationship between the mechanical
properties and microstructure of silica aerogels. This two-level model consists of the particle …

The formation of silica aerogels and the kinetics of condensation were investigated
numerically. The influence of the reaction-limited to the diffusion-limited aggregation (RLA to …

Porous silica aerogel is an ultra-low-density material with nanostructures that leads to its
excellent physio-chemical properties. Considering the characteristics of the material, a …

In previous study, it was found that the fractal dimension of the silica aerogel could be only
controlled by adjusting the catalysts. In this work, we used the aging process investigated by …