A Simple Method for Estimation of the Scattering Exponent of Nanostructured Glasses.

For most of nanostructured glasses (NGs) (phase-separated glasses and glass-ceramics), the light scattering coefficient (turbidity) is described by a power function of the inverse wavelength with an exponent which differs appreciably from the Rayleigh value 4 and is called the scattering exponent. The knowledge of the scattering exponent of a material is important from both fundamental and practical points of view. Previously, we developed three rather complex methods to determine the scattering exponent.

Extremely low light scattering in nanostructured glasses formed by simultaneous nucleation and diffusion-limited growth of particles: modeling: erratum.

We present an erratum to our Letter [Opt. Lett.45, 3645 (2020)OPLEDP0146-959210.

Extremely low light scattering in nanostructured glasses formed by simultaneous nucleation and diffusion-limited growth of particles: modeling.

A structural model proposed earlier is used to simulate light scattering in nanostructured glass formed by diffusional growth of simultaneously nucleated particles with small volume fraction. Computer simulation of the structure allows one to calculate partial structure factors for polydisperse particles and to estimate light scattering intensity in the interference approximation. Interference effects lead to a significant decrease in scattered intensity compared with independent scattering in a range of long wavelengths.

Asymmetry parameter for anomalous scattering of light in nanostructured glasses.

An approach is proposed for evaluation of an asymmetry parameter for anomalous scattering of light in nanostructured glasses from the experimental wavelength dependence of the scattering coefficient. This dependence observed for phase-separated glasses and glass-ceramics is described by the power law with the constant exponent (-p), where p is greater than 4. In the approach, the material is modeled by identical Rayleigh scatterers distributed in a homogeneous matrix.