CP2K is a quantum chemistry and solid state physics software package that can perform atomistic
simulations of solid state, liquid, molecular, periodic, material, crystal, and biological systems.
CP2K provides a general framework for different modeling methods such as DFT using the mixed
Gaussian and plane waves approaches GPW and GAPW. Supported theory levels include DFT, MP2, RPA, GW,
tight-binding (xTB, DFTB), semi-empirical methods (AM1, PM3, PM6, RM1, MNDO, …), and classical
force fields (AMBER, CHARMM, …). CP2K can do simulations of molecular dynamics, metadynamics,
Monte Carlo, Ehrenfest dynamics, vibrational analysis, core level spectroscopy, energy minimization,
and transition state optimization using NEB or dimer method.
CP2K is written in Fortran 2008 and can be run efficiently in parallel using a combination of
multi-threading, MPI, and GPU acceleration (CUDA for NVIDIA GPUs, HIP/ROCm for AMD GPUs, and
OpenCL).
Downloading CP2K source code
For end users, the preferred method is to go to Releases
and download and extract one of the versioned tarballs cp2k-X.Y.tar.bz2.
For developers, the preferred method is to fork the cp2k/cp2k
repository and download via git clone. To clone the current master (development version):
CP2K
CP2K is a quantum chemistry and solid state physics software package that can perform atomistic simulations of solid state, liquid, molecular, periodic, material, crystal, and biological systems. CP2K provides a general framework for different modeling methods such as DFT using the mixed Gaussian and plane waves approaches GPW and GAPW. Supported theory levels include DFT, MP2, RPA, GW, tight-binding (xTB, DFTB), semi-empirical methods (AM1, PM3, PM6, RM1, MNDO, …), and classical force fields (AMBER, CHARMM, …). CP2K can do simulations of molecular dynamics, metadynamics, Monte Carlo, Ehrenfest dynamics, vibrational analysis, core level spectroscopy, energy minimization, and transition state optimization using NEB or dimer method.
CP2K is written in Fortran 2008 and can be run efficiently in parallel using a combination of multi-threading, MPI, and GPU acceleration (CUDA for NVIDIA GPUs, HIP/ROCm for AMD GPUs, and OpenCL).
Downloading CP2K source code
For end users, the preferred method is to go to Releases and download and extract one of the versioned tarballs
cp2k-X.Y.tar.bz2.For developers, the preferred method is to fork the
cp2k/cp2krepository and download viagit clone. To clone the current master (development version):To clone a release version vx.y:
Install CP2K
The installation instructions in the CP2K manual provide several methods for installing CP2K with dependencies:
Links
Directory organization
src: The source codedata: Simulation parameters e.g. basis sets and pseudopotentialsdocs: The markdown source pages for documentations that is rendered as the manualtests: Inputs for tests and regression teststools: Mixed collection of useful scripts related to CP2Kbenchmarks: Inputs for benchmarks