Molecular dynamics simulations of lithium superionic conductor Li10GeP2S12 using a machine learning potential

Title
Molecular dynamics simulations of lithium superionic conductor Li10GeP2S12 using a machine learning potential
Authors
Keywords
Li ionic conductor, Machine learning potential, Molecular dynamics simulation, Li-ion diffusion path
Journal
SOLID STATE IONICS
Volume 361, Issue -, Pages 115567
Publisher
Elsevier BV
Online
2021-02-03
DOI
10.1016/j.ssi.2021.115567

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search