A domain-specific atomistic model for Earth’s core materials
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.
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BibTeX
@misc{wan2026domainspecific,
title = {{A domain-specific atomistic model for Earth’s core materials}},
author = {Tianqi Wan and Liangrui Wei and Zepeng Wu and Renata Wentzcovitch and Yang Sun},
howpublished = {EarthArXiv},
year = {2026},
month = nov,
doi = {10.31223/x5k23h},
url = {https://eartharxiv.org/repository/view/15954/},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - A domain-specific atomistic model for Earth’s core materials
AU - Tianqi Wan
AU - Liangrui Wei
AU - Zepeng Wu
AU - Renata Wentzcovitch
AU - Yang Sun
PY - 2026
DA - 2026/11/04
PB - EarthArXiv
DO - 10.31223/x5k23h
UR - https://eartharxiv.org/repository/view/15954/
AB - 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.
ER -