A domain-specific atomistic model for Earth’s core materials

Understanding Earth’s core requires accurate descriptions of multicomponent iron alloys under extreme conditions. Here, we develop the Earth’s Core Atomistic Model (ECAM) for Fe–Ni–S–Si–O–C–H alloys through sampling with a foundational atomistic model, targeted ab initio simulations, and iterative exploration. A compact dataset selected from nearly half a million configurations is consistently labeled using high-accuracy first-principles calculations and used to train a lightweight model. The model explicitly includes thermal electronic contributions and runs nearly two orders of magnitude faster than the original foundational model. ECAM corrects artifacts in the foundational model’s description of core materials and reproduces the density, seismic velocity, Gibbs free energy, and phase diagrams of Fe and binary alloys in agreement with previous ab initio calculations. ECAM is expected to enable more realistic modeling of chemical partitioning and crystallization in Earth’s core. Our workflow also provides a practical route from foundational-model sampling to efficient domain-specific simulation.

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Publication Details

Published
2026-11-04
DOI
https://doi.org/10.31223/x5k23h
Primary Topic
High-pressure geophysics and materials
Type
preprint
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preprint

A domain-specific atomistic model for Earth’s core materials

Renata M. M. Wentzcovitch, Yang Sun, Tianqi Wan, Liangrui Wei et al.
High-pressure geophysics and materials
preprint

A domain-specific atomistic model for Earth’s core materials

Renata M. M. Wentzcovitch, Yang Sun, Tianqi Wan, Liangrui Wei, Zepeng Wu
preprint en

Abstract

Understanding Earth’s core requires accurate descriptions of multicomponent iron alloys under extreme conditions. Here, we develop the Earth’s Core Atomistic Model (ECAM) for Fe–Ni–S–Si–O–C–H alloys through sampling with a foundational atomistic model, targeted ab initio simulations, and iterative exploration. A compact dataset selected from nearly half a million configurations is consistently labeled using high-accuracy first-principles calculations and used to train a lightweight model. The model explicitly includes thermal electronic contributions and runs nearly two orders of magnitude faster than the original foundational model. ECAM corrects artifacts in the foundational model’s description of core materials and reproduces the density, seismic velocity, Gibbs free energy, and phase diagrams of Fe and binary alloys in agreement with previous ab initio calculations. ECAM is expected to enable more realistic modeling of chemical partitioning and crystallization in Earth’s core. Our workflow also provides a practical route from foundational-model sampling to efficient domain-specific simulation.

Xiamen University (CN)
High-pressure geophysics and materials
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