# DEEPMD

References: Wang2018, Zeng2023

This section specifies the input parameters for Deep Potential type. Mainly intended for things like neural network to DFT to achieve correlated-wavefunction-like accuracy. Requires linking with DeePMD-kit library from https://docs.deepmodeling.com/projects/deepmd/en/master . [Edit on GitHub]

## Keywords

- ATOMS

- ATOMS_DEEPMD_TYPE

- POT_FILE_NAME

## Keyword descriptions

ATOMS: string[ ]

  Usage: ATOMS {KIND 1} {KIND 2} .. {KIND N}

  Mentions: ⭐DeePMD-kit

  Defines the atomic kinds involved in the Deep Potential. Provide a list of each element, making sure that the mapping from the ATOMS list to DeePMD atom types is correct. [Edit on GitHub]

ATOMS_DEEPMD_TYPE: integer[ ]

  Usage: ATOMS_DEEPMD_TYPE {TYPE INTEGER 1} {TYPE INTEGER 2} .. {TYPE INTEGER N}

  Mentions: ⭐DeePMD-kit

  Specifies the atomic TYPE for the DeePMD-kit potential. Provide a list of index, making sure that the mapping from the ATOMS list to DeePMD atom types is correct. [Edit on GitHub]

POT_FILE_NAME: string = graph.pb

  Aliases: PARMFILE

  Usage: POT_FILE_NAME {FILENAME}

  Specifies the filename that contains the DeePMD-kit potential. [Edit on GitHub]