9.5. Interfaces out of DeePMD-kit
The codes of the following interfaces are not a part of the DeePMD-kit package and maintained by other repositories. We list these interfaces here for user convenience.
9.5.1. dpdata
dpdata provides the predict
method for System
class:
import dpdata
dsys = dpdata.LabeledSystem("OUTCAR")
dp_sys = dsys.predict("frozen_model_compressed.pb")
By inferring with the DP model frozen_model_compressed.pb
, dpdata will generate a new labeled system dp_sys
with inferred energies, forces, and virials.
9.5.2. OpenMM plugin for DeePMD-kit
An OpenMM plugin is provided from JingHuangLab/openmm_deepmd_plugin, written by the Huang Lab at Westlake University.
9.5.3. Amber interface to DeePMD-kit
Starting from AmberTools24, sander
includes an interface to the DeePMD-kit, which implements the Deep Potential Range Corrected (DPRc) correction. The DPRc model and the interface were developed by the York Lab from Rutgers University. More details are available in
Amber Reference Manuals, providing documentation for how to enable the interface and the
&dprc
namelist;GitLab RutgersLBSR/AmberDPRc, providing examples mdin files;
DP-Amber, a tiny tool to convert Amber trajectory to DPRc training data;
9.5.4. CP2K interface to DeePMD-kit
CP2K v2024.2 adds an interface to the DeePMD-kit for molecular dynamics. Read the CP2K manual for details.
9.5.5. DP-GEN
DP-GEN provides a workflow to generate accurate DP models by calling DeePMD-kit’s command line interface (CLI) in the local or remote server. Details can be found in this paper.
9.5.6. MLatom
Mlatom provides an interface to the DeePMD-kit within MLatom’s workflow by calling DeePMD-kit’s CLI. Details can be found in this paper.
9.5.7. ABACUS
ABACUS can run molecular dynamics with a DP model. User is required to build ABACUS with DeePMD-kit.