DeePMD-SE estimates the PES using an equivalent mechanism to that of the neural network model described by Behler and Parrinello. The descriptor of DeePMD-SE is constructed from chemical species and the atomic coordinates of the central atom of interest. These input data are type-embedded into neural networks rather than using symmetric functions or spherical harmonic type functions as in conventional NNP. The model can be compressed to achieve speed-up of NNMD. 78,80-82