The Glassy Solid as a Statistical Ensemble of Crystalline Microstates: Article No. 56

Eric Jones, Vladan Stevanovic

Research output: Contribution to journalArticlepeer-review

19 Scopus Citations

Abstract

We present an alternative and, for the purpose of non-crystalline materials design, a more suitable description of covalent and ionic glassy solids as statistical ensembles of crystalline local minima on the potential energy surface. Motivated by the concept of partially broken ergodicity, we analytically formulate the set of approximations under which the structural features of ergodic systems such as the radial distribution function (RDF) and powder X-ray diffraction (XRD) intensity can be rigorously expressed as statistical ensemble averages over different local minima. Validation is carried out by evaluating these ensemble averages for elemental Si and SiO2 over the local minima obtained through the first-principles random structure sampling that we performed using relatively small simulation cells, thereby restricting the sampling to a set of predominantly crystalline structures. The comparison with XRD and RDF from experiments (amorphous silicon) and molecular dynamics simulations (glassy SiO2) shows excellent agreement, thus supporting the ensemble picture of glasses and opening the door to fully predictive description without the need for experimental inputs.
Original languageAmerican English
Number of pages6
Journal n p j Computational Materials
Volume6
DOIs
StatePublished - 2020

NREL Publication Number

  • NREL/JA-5K00-77246

Keywords

  • atomistic models
  • structure of solids and liquids

Fingerprint

Dive into the research topics of 'The Glassy Solid as a Statistical Ensemble of Crystalline Microstates: Article No. 56'. Together they form a unique fingerprint.

Cite this