Shypd.aiThe largest open index of AI toolsDeePMD-kit is a scientific computing tool that provides a deep learning package for many-body potential energy representation and molecular dynamics. It minimizes the effort to build deep learning-based models for interatomic potential energy and force fields.
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DeePMD-kit is a Python/C++ package designed to facilitate the creation of deep learning-based models for interatomic potential energy and force fields, and to perform molecular dynamics simulations. It addresses the accuracy-versus-efficiency dilemma in molecular simulations by leveraging deep learning. The package is highly modularized and interfaces with popular deep learning frameworks like TensorFlow, PyTorch, JAX, and Paddle, as well as high-performance classical and quantum MD packages such as LAMMPS, i-PI, and GROMACS. It implements the Deep Potential series models, which have been successfully applied to various systems, including organic molecules, metals, and semiconductors. DeePMD-kit also supports MPI and GPU for efficient parallel and distributed computing, making it suitable for complex scientific research.
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