Modeling the high-pressure solid and liquid phases of tin from deep potentials with ab initio accuracy

Tao Chen, Fengbo Yuan, Jianchuan Liu, Huayun Geng, Linfeng Zhang, Han Wang, and Mohan Chen
Phys. Rev. Materials 7, 053603 – Published 11 May 2023
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Abstract

Constructing an accurate atomistic model for the high-pressure phases of tin (Sn) is challenging because the properties of Sn are sensitive to pressures. We develop machine-learning-based deep potentials for Sn with pressures ranging from 0 to 50 GPa and temperatures ranging from 0 to 2000 K. In particular, we find the deep potential, which is obtained by training the ab initio data from density functional theory calculations with the state-of-the-art SCAN exchange-correlation functional, is suitable to characterize high-pressure phases of Sn. We systematically validate several structural and elastic properties of the α (diamond structure), β, bct, and bcc structures of Sn, as well as the structural and dynamic properties of liquid Sn. The thermodynamics integration method is further utilized to compute the free energies of the α, β, bct, and liquid phases, from which the deep potential successfully predicts the phase diagram of Sn including the existence of the triple-point that qualitatively agrees with the experiment.

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  • Received 31 October 2022
  • Revised 8 March 2023
  • Accepted 10 April 2023

DOI:https://doi.org/10.1103/PhysRevMaterials.7.053603

©2023 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Tao Chen1,*, Fengbo Yuan1,*, Jianchuan Liu1, Huayun Geng2, Linfeng Zhang3,4, Han Wang1,5, and Mohan Chen1,†

  • 1HEDPS, CAPT, College of Engineering and School of Physics, Peking University, Beijing 100871, People's Republic of China
  • 2National Key Laboratory of Shock Wave and Detonation Physics, Institute of Fluid Physics, CAEP, P.O. Box 919-102, Mianyang 621900, Sichuan, People's Republic of China
  • 3AI for Science Institute, Beijing 100080, People's Republic of China
  • 4DP Technology, Beijing 100080, People's Republic of China
  • 5Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Beijing 100094, People's Republic of China

  • *These authors contributed equally to this work.
  • Corresponding author: mohanchen@pku.edu.cn

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Issue

Vol. 7, Iss. 5 — May 2023

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