Update GPUMD&NEP_06_12_2024.md

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 In June 2024, GPUMD&NEP joined the DeepModeling community. As an innovative and highly efficient MD simulation and machine learning potential function tool, it further provides support for the Materials Genome Project and the AI4S community.
 
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 ## Introduction
 
 In recent years, all-solid-state lithium-ion batteries have attracted much attention due to their high safety and high energy density. As a solid-state electrolyte material with high ionic conductivity and stability, Li7La3Zr2O12 (LLZO) is particularly remarkable. However, there is a significant difference between the theoretically predicted activation energy (about 1.2 eV) and the experimentally measured value (about 0.45 eV) for lithium-ion migration in the tetragonal phase LLZO. This contradiction limits the in-depth understanding and optimization of the material's performance.