Maltsev Alexey P, Chepkasov Ilya V, Oganov Artem R
Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, bld. 1, Moscow 121205, Russia.
ACS Appl Mater Interfaces. 2023 Sep 13;15(36):42511-42519. doi: 10.1021/acsami.3c07242. Epub 2023 Sep 1.
Temperature-induced phase transitions and ionic conductivities of LiBH and LiCBH were simulated with the use of machine learning interatomic potentials based on van der Waals-corrected density functional theory (rev-vdW-DF2 functional). The simulated temperature of order-disorder phase transition, lattice parameters, diffusion, ionic conductivity, and activation energies are in good agreement with experimental data. Our simulations of LiBH uncover the importance of the reorientational motion of the [BH] anion. In the ordered α-phase ( < 625 K), these anions have well-defined orientations, while in the disordered β-phase ( > 625 K), their orientations are random. In vacancy-rich systems, its complete rotation was observed, while in the ideal crystal, the anions display limited vabrational motion, indicating the static nature of the phase transition without dynamic disordering. The use of machine learning interatomic potentials has allowed us to study large systems (>2000 atoms) in long (nanosecond-scale) molecular dynamics runs with ab initio quality.
利用基于范德华修正密度泛函理论(rev-vdW-DF2泛函)的机器学习原子间势,模拟了LiBH和LiCBH的温度诱导相变及离子电导率。模拟得到的有序-无序相变温度、晶格参数、扩散、离子电导率和活化能与实验数据吻合良好。我们对LiBH的模拟揭示了[BH]阴离子重取向运动的重要性。在有序的α相(<625 K)中,这些阴离子具有明确的取向,而在无序的β相(>625 K)中,它们的取向是随机的。在富空位体系中,观察到了其完全旋转,而在理想晶体中,阴离子表现出有限的振动运动,表明相变的静态性质,不存在动态无序。机器学习原子间势的使用使我们能够在具有从头算质量的长时间(纳秒级)分子动力学模拟中研究大型体系(>2000个原子)。