Stability-filtered lattice matching for the discovery of supercooling nucleants in gallium and its low-melting alloys

Gallium and its low-melting alloys possess a high latent heat of fusion and melt near room temperature, yet they supercool by several tens of kelvin before solidification, rendering freezing unreliable and limiting their application as phase change materials. Heterogeneous nucleants are commonly selected by lattice matching to the solidifying phase. However, lattice matching alone is insufficient for gallium because its strong oxophilicity causes the reduction of candidate oxides before they can act as effective nucleants. We combine a classical nucleation model with a thermodynamic stability criterion accounting for lattice matching and chemical stability in the melt. Using the literature value of the gallium interfacial energy (55 mJ m −2 ), the model reproduces the measured homogeneous supercooling of pure gallium (68 K versus 67.8 K) and predicts the observed nucleant ranking. The stability criterion shows that the best reported oxide, TeO₂, is unstable in liquid gallium, reducing to GaTe and β-Ga₂O₃, both poor crystallographic templates. Screening oxides, carbides, and nitrides identifies HfN and ScN as the strongest templates, while first-principles calculations of the work of adhesion show stronger interfacial bonding than the ZrN benchmark. Yet these strongest templates do not meet the remaining requirements: an effective nucleant must also be wetted by the melt and have a density close to that of liquid gallium to remain dispersed. HfN and ScN satisfy neither condition. Thus none of the screened material satisfies all four requirements simultaneously. Nucleant selection requires optimisation of lattice matching, chemical stability, wetting, and density, with a transient cell model defining the residual supercooling below the thermal margin between the melting point and the cold plate.

Authors

Institutions

Publication Details

Journal
Computational Materials Science
Published
2026-10-09
DOI
https://doi.org/10.1016/j.commatsci.2026.115122
Primary Topic
nanoparticles nucleation surface interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stability-filtered lattice matching for the discovery of supercooling nucleants in gallium and its low-melting alloys

Kristina I. Lilova, Michael Bustamante, Gabriel Bustamante
Computational Materials Science
nanoparticles nucleation surface interactions
article

Stability-filtered lattice matching for the discovery of supercooling nucleants in gallium and its low-melting alloys

Kristina I. Lilova, Michael Bustamante, Gabriel Bustamante
article en

Abstract

Gallium and its low-melting alloys possess a high latent heat of fusion and melt near room temperature, yet they supercool by several tens of kelvin before solidification, rendering freezing unreliable and limiting their application as phase change materials. Heterogeneous nucleants are commonly selected by lattice matching to the solidifying phase. However, lattice matching alone is insufficient for gallium because its strong oxophilicity causes the reduction of candidate oxides before they can act as effective nucleants. We combine a classical nucleation model with a thermodynamic stability criterion accounting for lattice matching and chemical stability in the melt. Using the literature value of the gallium interfacial energy (55 mJ m −2 ), the model reproduces the measured homogeneous supercooling of pure gallium (68 K versus 67.8 K) and predicts the observed nucleant ranking. The stability criterion shows that the best reported oxide, TeO₂, is unstable in liquid gallium, reducing to GaTe and β-Ga₂O₃, both poor crystallographic templates. Screening oxides, carbides, and nitrides identifies HfN and ScN as the strongest templates, while first-principles calculations of the work of adhesion show stronger interfacial bonding than the ZrN benchmark. Yet these strongest templates do not meet the remaining requirements: an effective nucleant must also be wetted by the melt and have a density close to that of liquid gallium to remain dispersed. HfN and ScN satisfy neither condition. Thus none of the screened material satisfies all four requirements simultaneously. Nucleant selection requires optimisation of lattice matching, chemical stability, wetting, and density, with a transient cell model defining the residual supercooling below the thermal margin between the melting point and the cold plate.

Computational Materials ScienceVol. 276
Arizona State University (US)
Openalex Percentile: Top 19%
nanoparticles nucleation surface interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.