The coarse-grained machine-learning derived ML-BOP model [Chan et al., Nature Commun. 10, 379 (2019)] provides a monoatomic representation of the water-water interaction potential in which orientational interactions are included as three-body contributions. Despite its simplicity, the model reproduces the phase diagram of water and its anomalies. Here, we show that a two-state Gibbs free energy expression - fitted simultaneously on the temperature and pressure dependence of the density and internal energy - predicts the existence of a liquid-liquid critical point, with critical parameters consistent with previous estimates. We also show that in this model: (i) while the low density liquid is pre-empted by crystal nucleation, the high-density liquid and its spinodal are accessible in numerical studies down to 100 K; (ii) crystallisation requires the presence of a local low density region. Thus, for densities larger than the critical density, spinodal decomposition (or nucleation of the low-density liquid) is a pre-requisite for ice nucleation.

Two state model for the ML-BOP potential / Zorzi, Numa; Neophytou, Andreas; Sciortino, Francesco. - In: MOLECULAR PHYSICS. - ISSN 0026-8976. - (2024). [10.1080/00268976.2024.2407025]

Two state model for the ML-BOP potential

Zorzi, Numa;Neophytou, Andreas;Sciortino, Francesco
Ultimo
2024

Abstract

The coarse-grained machine-learning derived ML-BOP model [Chan et al., Nature Commun. 10, 379 (2019)] provides a monoatomic representation of the water-water interaction potential in which orientational interactions are included as three-body contributions. Despite its simplicity, the model reproduces the phase diagram of water and its anomalies. Here, we show that a two-state Gibbs free energy expression - fitted simultaneously on the temperature and pressure dependence of the density and internal energy - predicts the existence of a liquid-liquid critical point, with critical parameters consistent with previous estimates. We also show that in this model: (i) while the low density liquid is pre-empted by crystal nucleation, the high-density liquid and its spinodal are accessible in numerical studies down to 100 K; (ii) crystallisation requires the presence of a local low density region. Thus, for densities larger than the critical density, spinodal decomposition (or nucleation of the low-density liquid) is a pre-requisite for ice nucleation.
2024
Liquid-liquid critical point; two state model; machine learning; supercooled water; spinodal decomposition
01 Pubblicazione su rivista::01a Articolo in rivista
Two state model for the ML-BOP potential / Zorzi, Numa; Neophytou, Andreas; Sciortino, Francesco. - In: MOLECULAR PHYSICS. - ISSN 0026-8976. - (2024). [10.1080/00268976.2024.2407025]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1722817
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