posted on 2025-01-06, 12:11authored byRiccardo Dettori, Nir Goldman
The mineral schreibersite, e.g., Fe3P, is
commonly found
in iron-rich meteorites and could have served as an abiotic phosphorus
source for prebiotic chemistry. However, atomistic calculations of
its degradation chemistry generally require quantum simulation approaches,
which can be too computationally cumbersome to study sufficient time
and length scales for this process. In this regard, we have created
a computationally efficient semiempirical quantum density functional
tight binding (DFTB) model for iron and phosphorus-containing materials
by adopting an existing semiautomated workflow that represents many-body
interactions by linear combinations of Chebyshev polynomials. We have
utilized a relatively small training set to optimize a DFTB model
that is accurate for schreibersite physical and chemical properties,
including its bulk properties, surface energies, and water absorption.
We then show that our model shows strong transferability to several
iron phosphide solids as well as multiple allotropes of iron metal.
Our resulting DFTB parametrization will allow us to interrogate schreibersite
aqueous decomposition at longer time and length scales than standard
quantum approaches, providing for more detailed investigations of
its role in prebiotic chemistry on early Earth.