An Accurate Machine-Learned Potential for Krypton under Extreme Conditions

IF 4.6 2区 化学 Q2 CHEMISTRY, PHYSICAL The Journal of Physical Chemistry Letters Pub Date : 2025-02-04 DOI:10.1021/acs.jpclett.4c03272
Asuka J. Iwasaki, Marcin Kirsz, Ciprian G. Pruteanu, Graeme J. Ackland
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Abstract

We have developed two machine-learned pair potentials for krypton based on CCSD(T) quantum chemical calculations on two and three atom clusters. Through extensive testing with molecular dynamics, we find both potentials give good agreement with the experimental equation of state, melting point, and neutron scattering data for the fluid. Compared with the most widely used Lennard-Jones model, our potentials produced similar results in low-pressure melting and equation of state. However, extending the regime to higher pressures of ≤30 GPa showed a remarkable divergence of the Lennard-Jones model from the experimental (solid) equation of state. Our potential showed extremely good agreement, despite having no solid phases in the training set.

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在极端条件下氪的精确机器学习潜力
我们基于CCSD(T)量子化学计算在两个和三个原子团簇上开发了两个机器学习的氪对势。通过分子动力学的广泛测试,我们发现这两个势与流体的状态方程、熔点和中子散射数据吻合得很好。与最广泛使用的Lennard-Jones模型相比,我们的势在低压熔融和状态方程中得到了相似的结果。然而,当扩展到更高的压力≤30gpa时,Lennard-Jones模型与实验(固体)状态方程出现了显著的分歧。我们的潜力显示出非常好的一致性,尽管在训练集中没有固定的阶段。
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来源期刊
The Journal of Physical Chemistry Letters
The Journal of Physical Chemistry Letters CHEMISTRY, PHYSICAL-NANOSCIENCE & NANOTECHNOLOGY
CiteScore
9.60
自引率
7.00%
发文量
1519
审稿时长
1.6 months
期刊介绍: The Journal of Physical Chemistry (JPC) Letters is devoted to reporting new and original experimental and theoretical basic research of interest to physical chemists, biophysical chemists, chemical physicists, physicists, material scientists, and engineers. An important criterion for acceptance is that the paper reports a significant scientific advance and/or physical insight such that rapid publication is essential. Two issues of JPC Letters are published each month.
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