Machine learning-based structure–property predictions in silica aerogels
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 …
diffusion-limited cluster–cluster aggregation (DLCA) approach. In this paper, an artificial …
Aerogel Spring‐Back Correlates with Strain Recovery: Effect of Silica Concentration and Aging
Silica aerogels display exceptional properties and great application potential, with a mature
market in thermal insulation. Both supercritical drying (SCD) and ambient pressure drying …
market in thermal insulation. Both supercritical drying (SCD) and ambient pressure drying …
DEM-based approach for the modeling of gelation and its application to alginate
PN Depta, P Gurikov, B Schroeter… - Journal of chemical …, 2021 - ACS Publications
The gelation of biopolymers is of great interest in the material science community and has
gained increasing relevance in the past few decades, especially in the context of aerogels─ …
gained increasing relevance in the past few decades, especially in the context of aerogels─ …
On the material removal mechanism in rotary ultrasonic milling of ultralow-density silica aerogel composites
Silica aerogel composite with ultralow density is a kind of highly porous solid with excellent
property of thermal conductivity. It is widely used for thermal insulation in aerospace …
property of thermal conductivity. It is widely used for thermal insulation in aerospace …
Predictive modeling and simulation of silica aerogels by using aggregation algorithms
Silica aerogels are highly porous solids with very low densities and thermal conductivities.
Their high porosity results in a fractal morphology which has a strong influence on their …
Their high porosity results in a fractal morphology which has a strong influence on their …