Nonequilibrium molecular dynamics for accelerated computation of ion–ion correlated conductivity beyond Nernst–Einstein limitation

npj Computational Materials(2023)

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摘要
Condensed matters with high ionic conductivities are crucial in various solid devices such as solid-state batteries. The conduction is characterized by the cooperative ionic motion associated with the high carrier density. However, the high cost of computing correlated ionic conductivities has forced almost all ab initio molecular dynamics (MD) to rely on the Nernst–Einstein dilute-solution approximation, which ignores the cross-correlation effect. Here we develop a chemical color-diffusion nonequilibrium MD (CCD-NEMD) method, which enables to calculate the correlated conductivities with fewer sampling steps than the conventional MD. This CCD-NEMD is demonstrated to well evaluate the conductivities in the representative solid electrolyte bulk Li 10 GeP 2 S 12 and Li 7 La 3 Zr 2 O 12 . We also applied CCD-NEMD to the grain boundary of Li 7 La 3 Zr 2 O 12 and demonstrated its applicability for calculating interfacial local conductivities, which is essential for investigating grain boundaries and composite electrolytes. CCD-NEMD can provide further accurate understanding of ionics with ionic correlations and promote developing solid devices.
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Applied physics,Batteries,Computational methods,Materials Science,general,Characterization and Evaluation of Materials,Mathematical and Computational Engineering,Theoretical,Mathematical and Computational Physics,Computational Intelligence,Mathematical Modeling and Industrial Mathematics
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