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New interaction potentials for borate glasses with mixed network formers.

Siddharth Sundararaman1, Liping Huang1, Simona Ispas2

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This study optimizes interaction potentials for borate glasses, accurately predicting their structure and mechanical properties. The new parameters reliably model various alkali borate, boroaluminate, and borosilicate glass compositions.

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Area of Science:

  • Materials Science
  • Computational Chemistry
  • Glass Science

Background:

  • Developing accurate interatomic potentials is crucial for simulating glass properties.
  • Existing models for aluminosilicate glasses require adaptation to include boron's unique network-forming role.

Purpose of the Study:

  • To extend an existing optimization scheme for effective potentials to incorporate boron.
  • To create reliable interaction parameters for simulating borate-containing glasses.

Main Methods:

  • Adapted an optimization scheme using ab initio molecular dynamics simulations for liquid radial distribution functions.
  • Incorporated experimental data (density, coordination, elastic modulus) of glasses at room temperature.
  • Validated potentials against experimental and simulation data for various glass compositions.

Main Results:

  • The developed interaction potentials accurately reproduce the structure and coordination of binary alkali borates.
  • Mechanical properties of binary alkali borates are reliably predicted.
  • The parameters demonstrate transferability, enabling accurate simulations of mixed boroaluminate and borosilicate glasses.

Conclusions:

  • The adapted optimization scheme successfully generates effective potentials for borate glasses.
  • The new potentials provide a reliable tool for predicting the properties of a wide range of borate-containing glass systems.
  • This work advances the computational modeling of complex oxide glasses.