CP2K is a freely available (GPL) quantum chemistry and solid state physics program package, written in Fortran 2008, to perform atomistic simulations of solid state, liquid, molecular, periodic, material, crystal, and biological systems. It provides a general framework for different methods: density functional theory (DFT) using a mixed Gaussian and plane waves approach (GPW) via LDA, GGA, MP2, or RPA levels of theory, classical pair and many-body potentials, semi-empirical (AM1, PM3, MNDO, MNDOd, PM6) and tight-binding Hamiltonians, as well as Quantum Mechanics/Molecular Mechanics (QM/MM) hybrid schemes relying on the Gaussian Expansion of the Electrostatic Potential (GEEP). The Gaussian and Augmented Plane Waves method (GAPW) as an extension of the GPW method allows for all-electron calculations. 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 provides editor plugins for Vim and Emacs syntax highlighting, along with other tools for input generation and output processing.[3]
The latest version 2024.2 was released on 6 August 2024.
Lippert, Gerald; Hutter, Jürg; Parrinello, Michele (1997). "A hybrid Gaussian and plane wave density functional scheme". Molecular Physics. 92 (3): 477–487. Bibcode:1997MolPh..92..477L. doi:10.1080/002689797170220.
Lippert, Gerald; Hutter, Jürg; Parrinello, Michele (1999). "The Gaussian and augmented-plane-wave density functional method for ab initio molecular dynamics simulations". Theoretical Chemistry Accounts: Theory, Computation, and Modeling. 103 (2): 124–140. doi:10.1007/s002140050523. S2CID124305820.
Kühne, Thomas D. (2014). "Second generation Car–Parrinello molecular dynamics". WIREs Computational Molecular Science. 4 (4): 391–406. arXiv:1201.5945. doi:10.1002/wcms.1176. S2CID15360296.
Laino, Teodoro; Mohamed, Fawzi; Laio, Alessandro; Parrinello, Michele (2005). "An Efficient Real Space Multigrid QM/MM Electrostatic Coupling". Journal of Chemical Theory and Computation. 1 (6): 1176–1184. doi:10.1021/ct050123f. PMID26631661.
Laino, Teodoro; Mohamed, Fawzi; Laio, Alessandro; Parrinello, Michele (2006). "An Efficient Linear-Scaling Electrostatic Coupling for Treating Periodic Boundary Conditions in QM/MM Simulations". Journal of Chemical Theory and Computation. 2 (5): 1370–1378. doi:10.1021/ct6001169. PMID26626844.