创建用于天体生物学模拟的 Fe$_3$P Schreibersite 密度函数紧密结合模型

Riccardo Dettori, Nir Goldman
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引用次数: 0

摘要

矿物schreibersite,例如Fe$_3$P,通常存在于富铁陨石中,可以作为生物前化学的非生物磷源。然而,对其降解化学的原子论计算通常需要量子模拟方法,而量子模拟方法在计算上可能过于繁琐,无法对这一过程进行足够时间和长度尺度的研究。为此,我们采用现有的半自动化工作流程,通过切比雪夫多项式的线性组合来表示多体相互作用,为含铁和磷材料创建了一个计算高效的量子密度函数紧密结合(DFTB)模型。我们利用一个相对较小的训练集来优化 DFTB 模型,该模型能准确地反映闪锌矿的物理和化学性质,包括其块体性质、表面能和吸水性。然后,我们证明了我们的模型对几种磷化铁固体以及多种金属铁的同素异形体具有很强的可移植性。与标准量子方法相比,我们的 DFTB 参数化结果将使我们能够在更长的时间和长度尺度上研究裂解磷的水分解,从而能够研究它在地球早期的前生物化学中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Creation of an Fe$_3$P Schreibersite Density Functional Tight Binding Model for Astrobiological Simulations
The mineral schreibersite, e.g., Fe$_3$P, 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 semi-empirical quantum Density Functional Tight Binding (DFTB) model for iron and phosphorus-containing materials by adopting an existing semi-automated 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 parameterization will allow us to interrogate schreibersite aqueous decomposition at longer time and length scales than standard quantum approaches, allowing for investigations of its role in prebiotic chemistry on early Earth.
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