CP2K: An electronic structure and molecular dynamics software package - Dynamics, Transport, and Spectroscopic Response
Abstract
One of the distinguishing aspects of CP2K is its seamless integration of diverse structural and transition-state optimization techniques with advanced sampling approaches including Monte Carlo, molecular dynamics, and metadynamics, enabling the efficient exploration of complex potential- and free-energy landscapes, including rare events. These capabilities are combined with a broad hierarchy of energy and force evaluation methods, ranging from classical and machine-learned interaction potentials and mixed quantum-classical multiscale and semiempirical schemes, to highly accurate quantum-mechanical electronic-structure approaches. At the heart of the latter lies the Gaussian and plane-wave framework, along with its augmented all-electron generalization, which have been described in detail in our previous code review [T. D. K\"uhne et al., J. Chem. Phys. 152, 194103 (2020)]. Building on this foundation, the present work revisits the methods within CP2K that turn electronic structure into dynamics, transport, and spectroscopic response. Particular emphasis is placed on the coupling between static response calculations and nuclear motion: spectra may be evaluated at optimized structures, averaged over thermally sampled configurations, obtained from time-correlation functions along ab-initio or path integral molecular trajectories, or followed in real time together with electronic and nuclear dynamics. The same modular structure also enables equilibrium and biased transport simulations, from Kubo-type linear response to open-boundary approaches under external potentials, highlighting CP2K's unique capability to unify quantum chemistry with quantum and statistical mechanics within a versatile, holistic simulation environment.
Cite
@article{arxiv.2607.22916,
title = {CP2K: An electronic structure and molecular dynamics software package - Dynamics, Transport, and Spectroscopic Response},
author = {Jan Wilhelm and Anna Hehn and Hossam Elgabarty and Beliz Sertcan Gökmen and Maximilian Graml and Stepan Marek and Ritaj Tyagi and Frederick Stein and Johann V. Potoschnig and Augustin Bussy and Christian S. Ahart and Zehua Chen and Linnea Andersson and Zdenek Futera and Filip Ivanovic and Margherita Buraschi and Christoph Schran and Remi Pasquier and Leonard Prokisch and Bibek Samal and Jelena Schmitz and Shridhar Sanjay Shanbhag and Harald Forbert and Ole Schütt and Franz Pöschl and Sebastian Ehlert and Stefano Battaglia and Michele Nottoli and Benjamin Stamm and Vamsee Voora and Rustam Z. Khaliullin and Sergey K. Chulkov and Matt B. Watkins and Clotilde S. Cucinotta and Jochen Blumberger and Chao Zhang and Yang Yang and Dominik Marx and Matthias Krack and Jürg Hutter and Marcella Iannuzzi and Thomas D. Kühne},
journal= {arXiv preprint arXiv:2607.22916},
year = {2026}
}