English

New interaction potentials for borate glasses with mixed network formers

Computational Physics 2020-03-12 v1 Disordered Systems and Neural Networks Materials Science

Abstract

We adapt and apply a recently developed optimization scheme used to obtain effective potentials for aluminosilicate glasses to include the network former boron into the interaction parameter set. As input data for the optimization, we used the radial distribution functions of the liquid at high temperature generated by ab initio molecular dynamics simulations, and density, coordination and elastic modulus of glass at room temperature from experiments. The new interaction potentials are shown to reproduce reliably the structure, coordination and mechanical properties over a wide range of compositions for binary alkali borates. Furthermore, the transferability of these new interaction parameters allows mixing to reliably reproduce properties of various boroaluminate and borosilicate glasses.

Keywords

Cite

@article{arxiv.1912.08943,
  title  = {New interaction potentials for borate glasses with mixed network formers},
  author = {Siddharth Sundararaman and Liping Huang and Simona Ispas and Walter Kob},
  journal= {arXiv preprint arXiv:1912.08943},
  year   = {2020}
}
R2 v1 2026-06-23T12:50:27.203Z