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arXiv 1002.2910cond-mat.mtrl-scicond-mat.stat-mech
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石墨-金刚石相共存的从头算质量研究

Ab initio quality study of the graphite-diamond phase coexistence

ETH Zürich(苏黎世联邦理工学院);Harvard University(哈佛大学);Ruhr-Universität Bochum(波鸿鲁尔大学)

Rustam Z. Khaliullin, Hagai Eshet, Thomas D. Kühne, Jörg Behler, Michele Parrinello

AI总结:

本研究构建了基于神经网络的碳的原子间势,兼具从头算精度与经验力场效率,首次开展了石墨-金刚石共存热力学的从头算质量分子动力学研究,纳入核量子效应后结果与实验吻合良好。

摘要:

我们利用神经网络(NN)表征的从头算势能面,构建了适用于碳的金刚石相和石墨相的原子间势。该NN势兼具两相约第一性原理描述的精度与经验力场的效率,首次实现了具备从头算精度的石墨-金刚石共存热力学分子动力学研究。若在模拟中纳入核量子效应,计算得到的共存曲线与实验结果吻合良好。

英文摘要:

An interatomic potential for the diamond and graphite phases of carbon has been created using a neural-network (NN) representation of the ab initio potential energy surface. The NN potential combines the accuracy of a first-principle description of both phases with the efficiency of empirical force fields and allows one to perform, for the first time, a molecular dynamics study, of ab initio quality, of the thermodynamics of graphite-diamond coexistence. Good agreement between the experimental and calculated coexistence curves is achieved if nuclear quantum effects are included in the simulation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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