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Soliquidy: a descriptor for atomic geometrical confusion

Publication ,  Journal Article
Eckert, H; Kube, SA; Divilov, S; Guest, A; Zettel, AC; Hicks, D; Griesemer, SD; Hotz, N; Campilongo, X; Zhu, S; van de Walle, A; Schroers, J ...
Published in: npj Computational Materials
December 1, 2025

Tailoring material properties often requires understanding the solidification process. Herein, we introduce the geometric descriptor Soliquidy, which numerically captures the Euclidean transport cost between the translationally disordered versus ordered states of a materials. As a testbed, we apply Soliquidy to the classification of glass-forming metal alloys. By extending and combining an experimental library of metallic thin films (glass/no-glass) with the aflow.org computational database (geometrical and energetic information of mixtures) we found that the combination of Soliquity and formation enthalpies generates an effective classifier for glass formation. Such a classifier is then used to tackle a public dataset of metallic glasses showing that the glass-agnostic assumptions of Soliquity can be useful for understanding kinetically-controlled phase transitions.

Duke Scholars

Published In

npj Computational Materials

DOI

EISSN

2057-3960

Publication Date

December 1, 2025

Volume

11

Issue

1

Related Subject Headings

  • 5104 Condensed matter physics
  • 4016 Materials engineering
  • 3407 Theoretical and computational chemistry
 

Citation

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Eckert, H., Kube, S. A., Divilov, S., Guest, A., Zettel, A. C., Hicks, D., … Curtarolo, S. (2025). Soliquidy: a descriptor for atomic geometrical confusion (Accepted). Npj Computational Materials, 11(1). https://doi.org/10.1038/s41524-025-01529-1

Published In

npj Computational Materials

DOI

EISSN

2057-3960

Publication Date

December 1, 2025

Volume

11

Issue

1

Related Subject Headings

  • 5104 Condensed matter physics
  • 4016 Materials engineering
  • 3407 Theoretical and computational chemistry